8577 Repositories
Python pick-and-place Libraries
DeFMO: Deblurring and Shape Recovery of Fast Moving Objects (CVPR 2021)
Evaluation, Training, Demo, and Inference of DeFMO DeFMO: Deblurring and Shape Recovery of Fast Moving Objects (CVPR 2021) Denys Rozumnyi, Martin R. O
[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing
Anycost GAN video | paper | website Anycost GANs for Interactive Image Synthesis and Editing Ji Lin, Richard Zhang, Frieder Ganz, Song Han, Jun-Yan Zh
Sentello is python script that simulates the anti-evasion and anti-analysis techniques used by malware.
sentello Sentello is a python script that simulates the anti-evasion and anti-analysis techniques used by malware. For techniques that are difficult t
Share constant definitions between programming languages and make your constants constant again
Introduction Reconstant lets you share constant and enum definitions between programming languages. Constants are defined in a yaml file and converted
A PC remote controller for YouTube and Twitch
Lazynite Lazynite is a PC remote controller for YouTube and Twitch on Telegram. Features Volume control; Browser fullscreen / video fullscreen; PC shu
Retrieve information from DBLP and update BibTex files automatically
Rebib TLDR: This script retrieves information from DBLP to update your BibTex files. python rebib.py --bibfile xxx.bib It first parses the bib entries
This script will pull and analyze syscalls in given application(s) allowing for easier security research purposes
SyscallExtractorAnalyzer This script will pull and analyze syscalls in given application(s) allowing for easier security research purposes Goals Teach
All the essential resources and template code needed to understand and practice data structures and algorithms in python with few small projects to demonstrate their practical application.
Data Structures and Algorithms Python INDEX 1. Resources - Books Data Structures - Reema Thareja competitiveCoding Big-O Cheat Sheet DAA Syllabus Inte
BBB streaming without Xorg and Pulseaudio and Chromium and other nonsense (heavily WIP)
BBB Streamer NG? Makes a conference like this... ...streamable like this! I also recorded a small video showing the basic features: https://www.youtub
Track live sentiment for stocks from Reddit and Twitter and identify growing stocks
Market Sentiment About This repository can mainly be used for two things. a. Tracking the live sentiment of stocks from Reddit and Twitter b. Tracking
A complete end-to-end demonstration in which we collect training data in Unity and use that data to train a deep neural network to predict the pose of a cube. This model is then deployed in a simulated robotic pick-and-place task.
Object Pose Estimation Demo This tutorial will go through the steps necessary to perform pose estimation with a UR3 robotic arm in Unity. You’ll gain
Scripts of Machine Learning Algorithms from Scratch. Implementations of machine learning models and algorithms using nothing but NumPy with a focus on accessibility. Aims to cover everything from basic to advance.
Algo-ScriptML Python implementations of some of the fundamental Machine Learning models and algorithms from scratch. The goal of this project is not t
Object Depth via Motion and Detection Dataset
ODMD Dataset ODMD is the first dataset for learning Object Depth via Motion and Detection. ODMD training data are configurable and extensible, with ea
Easy saving and switching between multiple KDE configurations.
Konfsave Konfsave is a config manager. That is, it allows you to save, back up, and easily switch between different (per-user) system configurations.
Django project starter on steroids: quickly create a Django app AND generate source code for data models + REST/GraphQL APIs (the generated code is auto-linted and has 100% test coverage).
Create Django App đź’› We're a Django project starter on steroids! One-line command to create a Django app with all the dependencies auto-installed AND
Bot simply search for the files from provided channel according to given query and gives link to those files as buttons!
Auto Filter Bot ㅤㅤㅤㅤㅤㅤㅤ ㅤㅤㅤㅤㅤㅤㅤ You can call this as an Auto Filter Bot if you like :D Bot simply search for the files from provided channel according
Let Python optimize the best stop loss and take profits for your TradingView strategy.
TradingView Machine Learning TradeView is a free and open source Trading View bot written in Python. It is designed to support all major exchanges. It
Ready-to-use code and tutorial notebooks to boost your way into few-shot image classification.
Easy Few-Shot Learning Ready-to-use code and tutorial notebooks to boost your way into few-shot image classification. This repository is made for you
Capture all information throughout your model's development in a reproducible way and tie results directly to the model code!
Rubicon Purpose Rubicon is a data science tool that captures and stores model training and execution information, like parameters and outcomes, in a r
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
MMdnn MMdnn is a comprehensive and cross-framework tool to convert, visualize and diagnose deep learning (DL) models. The "MM" stands for model manage
Framework and Library for Distributed Online Machine Learning
Jubatus The Jubatus library is an online machine learning framework which runs in distributed environment. See http://jubat.us/ for details. Quick Sta
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Horovod Horovod is a distributed deep learning training framework for TensorFlow, Keras, PyTorch, and Apache MXNet. The goal of Horovod is to make dis
Pandas-based utility to calculate weighted means, medians, distributions, standard deviations, and more.
weightedcalcs weightedcalcs is a pandas-based Python library for calculating weighted means, medians, standard deviations, and more. Features Plays we
Fast image augmentation library and easy to use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about library: https://www.mdpi.com/2078-2489/11/2/125
Albumentations Albumentations is a Python library for image augmentation. Image augmentation is used in deep learning and computer vision tasks to inc
Python audio and music signal processing library
madmom Madmom is an audio signal processing library written in Python with a strong focus on music information retrieval (MIR) tasks. The library is i
Marsyas - Music Analysis, Retrieval and Synthesis for Audio Signals
Welcome to MARSYAS. MARSYAS is a software framework for rapid prototyping of audio applications, with flexibility and extensibility as primary concer
C++ library for audio and music analysis, description and synthesis, including Python bindings
Essentia Essentia is an open-source C++ library for audio analysis and audio-based music information retrieval released under the Affero GPL license.
a library for audio and music analysis
aubio aubio is a library to label music and sounds. It listens to audio signals and attempts to detect events. For instance, when a drum is hit, at wh
library for nonlinear optimization, wrapping many algorithms for global and local, constrained or unconstrained, optimization
NLopt is a library for nonlinear local and global optimization, for functions with and without gradient information. It is designed as a simple, unifi
Hyperparameter Optimization for TensorFlow, Keras and PyTorch
Hyperparameter Optimization for Keras Talos • Key Features • Examples • Install • Support • Docs • Issues • License • Download Talos radically changes
A Free and Open Source Python Library for Multiobjective Optimization
Platypus What is Platypus? Platypus is a framework for evolutionary computing in Python with a focus on multiobjective evolutionary algorithms (MOEAs)
A Genetic Programming platform for Python with TensorFlow for wicked-fast CPU and GPU support.
Karoo GP Karoo GP is an evolutionary algorithm, a genetic programming application suite written in Python which supports both symbolic regression and
A highly efficient and modular implementation of Gaussian Processes in PyTorch
GPyTorch GPyTorch is a Gaussian process library implemented using PyTorch. GPyTorch is designed for creating scalable, flexible, and modular Gaussian
Probabilistic Programming and Statistical Inference in PyTorch
PtStat Probabilistic Programming and Statistical Inference in PyTorch. Introduction This project is being developed during my time at Cogent Labs. The
A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation
Aboleth A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation [1] with stochastic gradient variational Bayes
Deep universal probabilistic programming with Python and PyTorch
Getting Started | Documentation | Community | Contributing Pyro is a flexible, scalable deep probabilistic programming library built on PyTorch. Notab
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning. TF-Agents makes implementing, de
A set of tools for creating and testing machine learning features, with a scikit-learn compatible API
Feature Forge This library provides a set of tools that can be useful in many machine learning applications (classification, clustering, regression, e
Build, test, deploy, iterate - Dev and prod tool for data science pipelines
Prodmodel is a build system for data science pipelines. Users, testers, contributors are welcome! Motivation · Concepts · Installation · Usage · Contr
BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflows even for datasets that do not fit into memory.
BatchFlow BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflo
Out-of-Core DataFrames for Python, ML, visualize and explore big tabular data at a billion rows per second 🚀
What is Vaex? Vaex is a high performance Python library for lazy Out-of-Core DataFrames (similar to Pandas), to visualize and explore big tabular data
High performance datastore for time series and tick data
Arctic TimeSeries and Tick store Arctic is a high performance datastore for numeric data. It supports Pandas, numpy arrays and pickled objects out-of-
A pure Python implementation of Apache Spark's RDD and DStream interfaces.
pysparkling Pysparkling provides a faster, more responsive way to develop programs for PySpark. It enables code intended for Spark applications to exe
NumPy and Pandas interface to Big Data
Blaze translates a subset of modified NumPy and Pandas-like syntax to databases and other computing systems. Blaze allows Python users a familiar inte
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
tensorboardX Write TensorBoard events with simple function call. The current release (v2.1) is tested on anaconda3, with PyTorch 1.5.1 / torchvision 0
Visualizer for neural network, deep learning, and machine learning models
Netron is a viewer for neural network, deep learning and machine learning models. Netron supports ONNX (.onnx, .pb, .pbtxt), Keras (.h5, .keras), Tens
A collection of infrastructure and tools for research in neural network interpretability.
Lucid Lucid is a collection of infrastructure and tools for research in neural network interpretability. We're not currently supporting tensorflow 2!
Interpretability and explainability of data and machine learning models
AI Explainability 360 (v0.2.1) The AI Explainability 360 toolkit is an open-source library that supports interpretability and explainability of datase
treeinterpreter - Interpreting scikit-learn's decision tree and random forest predictions.
TreeInterpreter Package for interpreting scikit-learn's decision tree and random forest predictions. Allows decomposing each prediction into bias and
A library for debugging/inspecting machine learning classifiers and explaining their predictions
ELI5 ELI5 is a Python package which helps to debug machine learning classifiers and explain their predictions. It provides support for the following m
Visual analysis and diagnostic tools to facilitate machine learning model selection.
Yellowbrick Visual analysis and diagnostic tools to facilitate machine learning model selection. What is Yellowbrick? Yellowbrick is a suite of visual
Bias and Fairness Audit Toolkit
The Bias and Fairness Audit Toolkit Aequitas is an open-source bias audit toolkit for data scientists, machine learning researchers, and policymakers
Algorithms for monitoring and explaining machine learning models
Alibi is an open source Python library aimed at machine learning model inspection and interpretation. The focus of the library is to provide high-qual
Algorithms and data structures for educational, demonstrational and experimental purposes.
Algorithms and Data Structures (ands) Introduction This project was created for personal use mostly while studying for an exam (starting in the month
:computer: Data Structures and Algorithms in Python
Algorithms in Python Implementations of a few algorithms and datastructures for fun and profit! Completed Karatsuba Multiplication Basic Sorting Rabin
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Apache MXNet (incubating) for Deep Learning Master Docs License Apache MXNet (incubating) is a deep learning framework designed for both efficiency an
Simple, efficient and flexible vision toolbox for mxnet framework.
MXbox: Simple, efficient and flexible vision toolbox for mxnet framework. MXbox is a toolbox aiming to provide a general and simple interface for visi
A clear, concise, simple yet powerful and efficient API for deep learning.
The Gluon API Specification The Gluon API specification is an effort to improve speed, flexibility, and accessibility of deep learning technology for
Graph Neural Networks with Keras and Tensorflow 2.
Welcome to Spektral Spektral is a Python library for graph deep learning, based on the Keras API and TensorFlow 2. The main goal of this project is to
Ludwig is a toolbox that allows to train and evaluate deep learning models without the need to write code.
Translated in 🇰🇷 Korean/ Ludwig is a toolbox that allows users to train and test deep learning models without the need to write code. It is built on
đź“ť Wrapper library for text generation / language models at char and word level with RNN in TensorFlow
tensorlm Generate Shakespeare poems with 4 lines of code. Installation tensorlm is written in / for Python 3.4+ and TensorFlow 1.1+ pip3 install tenso
Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.
Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy. Now with tensorflow 1.0 support. Evaluation usa
Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥
TensorLayer is a novel TensorFlow-based deep learning and reinforcement learning library designed for researchers and engineers. It provides an extens
Simple tools for logging and visualizing, loading and training
TNT TNT is a library providing powerful dataloading, logging and visualization utilities for Python. It is closely integrated with PyTorch and is desi
A simplified framework and utilities for PyTorch
Here is Poutyne. Poutyne is a simplified framework for PyTorch and handles much of the boilerplating code needed to train neural networks. Use Poutyne
Data loaders and abstractions for text and NLP
torchtext This repository consists of: torchtext.datasets: The raw text iterators for common NLP datasets torchtext.data: Some basic NLP building bloc
Datasets, Transforms and Models specific to Computer Vision
torchvision The torchvision package consists of popular datasets, model architectures, and common image transformations for computer vision. Installat
ThunderGBM: Fast GBDTs and Random Forests on GPUs
Documentations | Installation | Parameters | Python (scikit-learn) interface What's new? ThunderGBM won 2019 Best Paper Award from IEEE Transactions o
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
Website | Documentation | Tutorials | Installation | Release Notes CatBoost is a machine learning method based on gradient boosting over decision tree
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
Light Gradient Boosting Machine LightGBM is a gradient boosting framework that uses tree based learning algorithms. It is designed to be distributed a
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
eXtreme Gradient Boosting Community | Documentation | Resources | Contributors | Release Notes XGBoost is an optimized distributed gradient boosting l
ThunderSVM: A Fast SVM Library on GPUs and CPUs
What's new We have recently released ThunderGBM, a fast GBDT and Random Forest library on GPUs. add scikit-learn interface, see here Overview The miss
Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one written in C++, along with various language-specific wrappers.
Regularized Greedy Forest Regularized Greedy Forest (RGF) is a tree ensemble machine learning method described in this paper. RGF can deliver better r
Anomaly Detection and Correlation library
luminol Overview Luminol is a light weight python library for time series data analysis. The two major functionalities it supports are anomaly detecti
Uplift modeling and causal inference with machine learning algorithms
Disclaimer This project is stable and being incubated for long-term support. It may contain new experimental code, for which APIs are subject to chang
Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
Little Ball of Fur is a graph sampling extension library for Python. Please look at the Documentation, relevant Paper, Promo video and External Resour
A library of extension and helper modules for Python's data analysis and machine learning libraries.
Mlxtend (machine learning extensions) is a Python library of useful tools for the day-to-day data science tasks. Sebastian Raschka 2014-2021 Links Doc
A toolkit for making real world machine learning and data analysis applications in C++
dlib C++ library Dlib is a modern C++ toolkit containing machine learning algorithms and tools for creating complex software in C++ to solve real worl
High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.
What is xLearn? xLearn is a high performance, easy-to-use, and scalable machine learning package that contains linear model (LR), factorization machin
Lumped-element impedance calculator and frequency-domain plotter.
fastZ: Lumped-Element Impedance Calculator fastZ is a small tool for calculating and visualizing electrical impedance in Python. Features include: Sup
Generic template to bootstrap your PyTorch project with PyTorch Lightning, Hydra, W&B, and DVC.
NN Template Generic template to bootstrap your PyTorch project. Click on Use this Template and avoid writing boilerplate code for: PyTorch Lightning,
ICRA 2021 "Towards Precise and Efficient Image Guided Depth Completion"
PENet: Precise and Efficient Depth Completion This repo is the PyTorch implementation of our paper to appear in ICRA2021 on "Towards Precise and Effic
Implementation of COCO-LM, Correcting and Contrasting Text Sequences for Language Model Pretraining, in Pytorch
COCO LM Pretraining (wip) Implementation of COCO-LM, Correcting and Contrasting Text Sequences for Language Model Pretraining, in Pytorch. They were a
Qwerkey is a social media platform for connecting and learning more about mechanical keyboards built on React and Redux in the frontend and Flask in the backend on top of a PostgreSQL database.
Flask React Project This is the backend for the Flask React project. Getting started Clone this repository (only this branch) git clone https://github
Telegram Voice Chat Music Player UserBot Written with Pyrogram Smart Plugin and tgcalls
Telegram Voice Chat UserBot A Telegram UserBot to Play Audio in Voice Chats. This is also the source code of the userbot which is being used for playi
Pyabr lightweight OS with Python and Qt
Pyabr cloud computing software In the name of God, the Compassionate, the Merciful Pyabr © 2021 Mani Jamali. Free Software GNU General Public License
A shopping list and kitchen inventory management app.
Flask React Project This is the backend for the Flask React project. Getting started Clone this repository (only this branch) git clone https://github
Python script to extract all Humble Bundle keys and redeem them on Steam automagically.
humble-steam-key-redeemer Python script to extract all Humble keys and redeem them on Steam automagically. This is primarily designed to be a set-it-a
An automated tool that fetches information about your crypto stake and generates historical data in time.
Introduction Yield explorer is a WIP! I needed a tool that would show me historical data and performance of my staked crypto but was unable to find a
sangha, pronounced "suhng-guh", is a social networking, booking platform where students and teachers can share their practice.
Flask React Project This is the backend for the Flask React project. Getting started Clone this repository (only this branch) git clone https://github
Generate graphs with NetworkX, natively visualize with D3.js and pywebview
webview_d3 This is some PoC code to render graphs created with NetworkX natively using D3.js and pywebview. The main benifit of this approac
🤖 Chegg answers requested and sent by the Discord BOT to the targeted user.
Chegg BOT Description "I believe that open-source resources are a must for everyone around. Especially in the field of education. As Chegg c
Konsave lets use save your KDE Plasma customizatios and restore them very easily!
Konsave (Save Plasma Customization) A CLI program that will let you save and apply your KDE Plasma customizations with just one command! Als
mrcal is a generic toolkit to solve calibration and SFM-like problems originating at NASA/JPL
mrcal is a generic toolkit to solve calibration and SFM-like problems originating at NASA/JPL. Functionality related to these problems is exposed as a set of C and Python libraries and some commandline tools.
msgspec is a fast and friendly implementation of the MessagePack protocol for Python 3.8+
msgspec msgspec is a fast and friendly implementation of the MessagePack protocol for Python 3.8+. In addition to serialization/deserializat
An attempt at the implementation of Glom, Geoffrey Hinton's new idea that integrates neural fields, predictive coding, top-down-bottom-up, and attention (consensus between columns)
GLOM - Pytorch (wip) An attempt at the implementation of Glom, Geoffrey Hinton's new idea that integrates neural fields, predictive coding,
LightSpeech: Lightweight and Fast Text to Speech with Neural Architecture Search
LightSpeech UnOfficial PyTorch implementation of LightSpeech: Lightweight and Fast Text to Speech with Neural Architecture Search.
This project is for a Twitter bot that monitors a bird feeder in my backyard. Any detected birds are identified and posted to Twitter.
Backyard Birdbot Introduction This is a silly hobby project to use existing ML models to: Detect any birds sighted by a webcam Identify whic
Python script for Linear, Non-Linear Convection, Burger’s & Poisson Equation in 1D & 2D, 1D Diffusion Equation using Standard Wall Function, 2D Heat Conduction Convection equation with Dirichlet & Neumann BC, full Navier-Stokes Equation coupled with Poisson equation for Cavity and Channel flow in 2D using Finite Difference Method & Finite Volume Method.
Navier-Stokes-numerical-solution-using-Python- Python script for Linear, Non-Linear Convection, Burger’s & Poisson Equation in 1D & 2D, 1D D
[CVPR 2021] Released code for Counterfactual Zero-Shot and Open-Set Visual Recognition
Counterfactual Zero-Shot and Open-Set Visual Recognition This project provides implementations for our CVPR 2021 paper Counterfactual Zero-S