14899 Repositories
Python deep-learning-with-python-notebooks Libraries
A New, Interactive Approach to Learning Python
This is the repository for The Python Workshop, published by Packt. It contains all the supporting project files necessary to work through the course from start to finish.
Rest API Written In Python To Classify NSFW Images.
✨ NSFW Classifier API ✨ Rest API Written In Python To Classify NSFW Images. Fastest Solution If you don't want to selfhost it, there's already an inst
A Poetry plugin for dynamically extracting the package version.
Poetry Version Plugin A Poetry plugin for dynamically extracting the package version. It can read the version from a file __init__.py with: # __init__
Implementation of ProteinBERT in Pytorch
ProteinBERT - Pytorch (wip) Implementation of ProteinBERT in Pytorch. Original Repository Install $ pip install protein-bert-pytorch Usage import torc
A telegram bot that can send you high-quality audio 🎧🎧🎧
Music downloader bot Still under development Please Report issues to improve this repo.I will try to fix bugs in next update Music downloader bot is a
A Python Module That Uses ANN To Predict A Stocks Price And Also Provides Accurate Technical Analysis With Many High Potential Implementations!
Stox A Module to predict the "close price" for the next day and give "technical analysis". It uses a Neural Network and the LSTM algorithm to predict
A single Python file with some tools for visualizing machine learning in the terminal.
Machine Learning Visualization Tools A single Python file with some tools for visualizing machine learning in the terminal. This demo is composed of t
Rick Astley Language is a rick roll oriented, dynamic, strong, esoteric programming language.
Rick Roll Language / Rick Astley Language A rick roll oriented, dynamic, strong, esoteric programming language. Prolegomenon The reasons that I made t
This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.
Introduction This is an official implementation of CvT: Introducing Convolutions to Vision Transformers. We present a new architecture, named Convolut
A Python script for rendering glTF files with V-Ray App SDK
V-Ray glTF viewer Overview The V-Ray glTF viewer is a set of Python scripts for the V-Ray App SDK that allow the parsing and rendering of glTF (.gltf
DNSStager is an open-source project based on Python used to hide and transfer your payload using DNS.
What is DNSStager? DNSStager is an open-source project based on Python used to hide and transfer your payload using DNS. DNSStager will create a malic
AutoPentest-DRL: Automated Penetration Testing Using Deep Reinforcement Learning
AutoPentest-DRL: Automated Penetration Testing Using Deep Reinforcement Learning AutoPentest-DRL is an automated penetration testing framework based o
A lightweight (serverless) native python parallel processing framework based on simple decorators and call graphs.
A lightweight (serverless) native python parallel processing framework based on simple decorators and call graphs, supporting both control flow and dataflow execution paradigms as well as de-centralized CPU & GPU scheduling.
An IVR Chatbot which can exponentially reduce the burden of companies as well as can improve the consumer/end user experience.
IVR-Chatbot Achievements 🏆 Team Uhtred won the Maverick 2.0 Bot-a-thon 2021 organized by AbInbev India. ❓ Problem Statement As we all know that, lot
Official PyTorch implementation for "Mixed supervision for surface-defect detection: from weakly to fully supervised learning"
Mixed supervision for surface-defect detection: from weakly to fully supervised learning [Computers in Industry 2021] Official PyTorch implementation
📊Python implementation of the Colin Talks Crypto Bitcoin Bull Run Index (CBBI).
Colin Talks Crypto Bitcoin Bull Run Index (CBBI) This is a Python implementation of the Colin Talks Crypto Bitcoin Bull Run Index (CBBI). It makes use
FluxTraining.jl gives you an endlessly extensible training loop for deep learning
A flexible neural net training library inspired by fast.ai
DIRL: Domain-Invariant Representation Learning
DIRL: Domain-Invariant Representation Learning Domain-Invariant Representation Learning (DIRL) is a novel algorithm that semantically aligns both the
PyTorch implementation of SimSiam: Exploring Simple Siamese Representation Learning
SimSiam: Exploring Simple Siamese Representation Learning This is a PyTorch implementation of the SimSiam paper: @Article{chen2020simsiam, author =
The implementation of the algorithm in the paper "Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data" published in ICML 2020.
DS3L This is the code for paper "Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data" published in ICML 2020. Setups The code is implem
Python and C++ implementation of "MarkerPose: Robust real-time planar target tracking for accurate stereo pose estimation". Accepted at LXCV @ CVPR 2021.
MarkerPose: Robust real-time planar target tracking for accurate stereo pose estimation This is a PyTorch and LibTorch implementation of MarkerPose: a
Deep functional residue identification
DeepFRI Deep functional residue identification Citing @article {Gligorijevic2019, author = {Gligorijevic, Vladimir and Renfrew, P. Douglas and Koscio
Source code for "MusCaps: Generating Captions for Music Audio" (IJCNN 2021)
MusCaps: Generating Captions for Music Audio Ilaria Manco1 2, Emmanouil Benetos1, Elio Quinton2, Gyorgy Fazekas1 1 Queen Mary University of London, 2
Official codes for the paper "Learning Hierarchical Discrete Linguistic Units from Visually-Grounded Speech"
ResDAVEnet-VQ Official PyTorch implementation of Learning Hierarchical Discrete Linguistic Units from Visually-Grounded Speech What is in this repo? M
Microsoft contributing libraries, tools, recipes, sample codes and workshop contents for machine learning & deep learning.
Microsoft contributing libraries, tools, recipes, sample codes and workshop contents for machine learning & deep learning.
pyprobables is a pure-python library for probabilistic data structures
pyprobables is a pure-python library for probabilistic data structures. The goal is to provide the developer with a pure-python implementation of common probabilistic data-structures to use in their work.
Deep Learning Visuals contains 215 unique images divided in 23 categories
Deep Learning Visuals contains 215 unique images divided in 23 categories (some images may appear in more than one category). All the images were originally published in my book "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide".
TensorFlow Decision Forests (TF-DF) is a collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models.
TensorFlow Decision Forests (TF-DF) is a collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models. The library is a collection of Keras models and supports classification, regression and ranking. TF-DF is a TensorFlow wrapper around the Yggdrasil Decision Forests C++ libraries. Models trained with TF-DF are compatible with Yggdrasil Decision Forests' models, and vice versa.
leafmap - A Python package for geospatial analysis and interactive mapping in a Jupyter environment.
A Python package for geospatial analysis and interactive mapping with minimal coding in a Jupyter environment
Tkinter Designer - Create Beautiful Tkinter GUIs by Drag and Drop.
Tkinter Designer is created to speed up and beautify Python GUI Experience. It uses well know design software called Figma. Which makes creating Tkinter GUI in Python a piece of cake.
A simple weather tool. I made this as a way for me to learn Python, API, and PyPi packaging.
A simple weather tool. I made this as a way for me to learn Python, API, and PyPi packaging.
Criando um jogo de naves espaciais com Pygame. Para iniciantes em Python
Curso de Programação de Jogos com Pygame Criando um jogo de naves espaciais com Pygame. Para iniciantes em Python Pré-requisitos Antes de começar este
True Few-Shot Learning with Language Models
This codebase supports using language models (LMs) for true few-shot learning: learning to perform a task using a limited number of examples from a single task distribution.
a weather application for the raspberry pi and the Pimorioni Inky pHAT.
raspi-weather a weather application for the raspberry pi and the Inky pHAT
Unofficial YooMoney API python library
API Yoomoney - unofficial python library This is an unofficial YooMoney API python library. Summary Introduction Features Installation Quick start Acc
NExfil is an OSINT tool written in python for finding profiles by username.
NExfil is an OSINT tool written in python for finding profiles by username. The provided usernames are checked on over 350 websites within few seconds.
Deep Image Search is an AI-based image search engine that includes deep transfor learning features Extraction and tree-based vectorized search.
Deep Image Search - AI-Based Image Search Engine Deep Image Search is an AI-based image search engine that includes deep transfer learning features Ex
PyTorch implementation of some learning rate schedulers for deep learning researcher.
pytorch-lr-scheduler PyTorch implementation of some learning rate schedulers for deep learning researcher. Usage WarmupReduceLROnPlateauScheduler Visu
A python application to log QSOs directly to QRZ.com from the command line
qrzlogger This script is a QRZ.com command line QSO logger. It does the following: asks the user for a call sign displays available call sign info pul
AEC_DeepModel - Deep learning based acoustic echo cancellation baseline code
AEC_DeepModel - Deep learning based acoustic echo cancellation baseline code
A Python dependency resolver
python-resolver A Python dependency resolver. Issues Only supports wheels (no sdists!) Usage Python library import packaging.requirements import resol
Local Attention - Flax module for Jax
Local Attention - Flax Autoregressive Local Attention - Flax module for Jax Install $ pip install local-attention-flax Usage from jax import random fr
Springer Link Download Module for Python
♞ pupalink A simple Python module to search and download books from SpringerLink. 🧪 This project is still in an early stage of development. Expect br
python+selenium实现的web端自动打卡 + 每日邮件发送 + 金山词霸 每日一句 + 毒鸡汤(从2月份稳定运行至今)
python+selenium实现的web端自动打卡 说明 本打卡脚本适用于郑州大学健康打卡,其他web端打卡也可借鉴学习。(自己用的,从2月分稳定运行至今) 仅供学习交流使用,请勿依赖。开发者对使用本脚本造成的问题不负任何责任,不对脚本执行效果做出任何担保,原则上不提供任何形式的技术支持。 为防止
A modern Python build backend
trampolim A modern Python build backend. Features Task system, allowing to run arbitrary Python code during the build process (Planned) Easy to use CL
Code for our paper "Mask-Align: Self-Supervised Neural Word Alignment" in ACL 2021
Mask-Align: Self-Supervised Neural Word Alignment This is the implementation of our work Mask-Align: Self-Supervised Neural Word Alignment. @inproceed
Module for converting 2D Python lists to fancy ASCII tables. Table2Ascii lets you display pretty tables in the terminal and on Discord.
table2ascii Module for converting 2D Python lists to a fancy ASCII/Unicode tables table2ascii 📥 Installation 🧑💻 Usage Convert lists to ASCII table
Bachelor's Thesis in Computer Science: Privacy-Preserving Federated Learning Applied to Decentralized Data
federated is the source code for the Bachelor's Thesis Privacy-Preserving Federated Learning Applied to Decentralized Data (Spring 2021, NTNU) Federat
Simple python code for compile brainfuck program.
py-brainf*ck Just a basic compiled that compiles your brainf*ck codes and gives you informations about memory, used cells, dumped version, logs etc...
Orchest is a browser based IDE for Data Science.
Orchest is a browser based IDE for Data Science. It integrates your favorite Data Science tools out of the box, so you don’t have to. The application is easy to use and can run on your laptop as well as on a large scale cloud cluster.
Multitask Learning Strengthens Adversarial Robustness
Multitask Learning Strengthens Adversarial Robustness
Implementation of "Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification"
hypergraph_reid Implementation of "Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification" If you find this help your research,
Minimal implementation of PAWS (https://arxiv.org/abs/2104.13963) in TensorFlow.
PAWS-TF 🐾 Implementation of Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples (PAWS)
When Does Pretraining Help? Assessing Self-Supervised Learning for Law and the CaseHOLD Dataset of 53,000+ Legal Holdings
When Does Pretraining Help? Assessing Self-Supervised Learning for Law and the CaseHOLD Dataset of 53,000+ Legal Holdings This is the repository for t
Code for reproducing our analysis in the paper titled: Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency
Image Crop Analysis This is a repo for the code used for reproducing our Image Crop Analysis paper as shared on our blog post. If you plan to use this
[CVPR'21 Oral] Seeing Out of tHe bOx: End-to-End Pre-training for Vision-Language Representation Learning
Seeing Out of tHe bOx: End-to-End Pre-training for Vision-Language Representation Learning [CVPR'21, Oral] By Zhicheng Huang*, Zhaoyang Zeng*, Yupan H
Implementation of Bidirectional Recurrent Independent Mechanisms (Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules)
BRIMs Bidirectional Recurrent Independent Mechanisms Implementation of the paper Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neura
Tensorflow implementation for Self-supervised Graph Learning for Recommendation
If the compilation is successful, the evaluator of cpp implementation will be called automatically. Otherwise, the evaluator of python implementation will be called.
IAUnet: Global Context-Aware Feature Learning for Person Re-Identification
IAUnet This repository contains the code for the paper: IAUnet: Global Context-Aware Feature Learning for Person Re-Identification Ruibing Hou, Bingpe
A GPT, made only of MLPs, in Jax
MLP GPT - Jax (wip) A GPT, made only of MLPs, in Jax. The specific MLP to be used are gMLPs with the Spatial Gating Units. Working Pytorch implementat
PyTorch implementation DRO: Deep Recurrent Optimizer for Structure-from-Motion
DRO: Deep Recurrent Optimizer for Structure-from-Motion This is the official PyTorch implementation code for DRO-sfm. For technical details, please re
Implementation of the paper "Shapley Explanation Networks"
Shapley Explanation Networks Implementation of the paper "Shapley Explanation Networks" at ICLR 2021. Note that this repo heavily uses the experimenta
ModernGL is a python wrapper over OpenGL 3.3+ core
ModernGL is a python wrapper over OpenGL 3.3+ core that simplifies the creation of simple graphics applications like scientific simulations, games or user interface
Notspot robot simulation - Python version
Notspot robot simulation - Python version This repository contains all the files and code needed to simulate the notspot quadrupedal robot using Gazeb
Bot que responde automáticamente as perguntas do giga unitel
Gigabot+ Bot que responde automáticamente as perguntas do giga unitel LINK DOWNLOAD: Gigabot.exe O script pode apresentar alguns erros, pois não tive
A command-line program to download media, like and unlike posts, and more from creators on OnlyFans.
onlyfans-scraper A command-line program to download media, like and unlike posts, and more from creators on OnlyFans. Installation You can install thi
(L2ID@CVPR2021) Boosting Co-teaching with Compression Regularization for Label Noise
Nested-Co-teaching (L2ID@CVPR2021) Pytorch implementation of paper "Boosting Co-teaching with Compression Regularization for Label Noise" [PDF] If our
Procedural 3D data generation pipeline for architecture
Synthetic Dataset Generator Authors: Stanislava Fedorova Alberto Tono Meher Shashwat Nigam Jiayao Zhang Amirhossein Ahmadnia Cecilia bolognesi Dominik
A collection of beginner-friendly DevOps content
mansion Mansion is just a testing repo for learners to commit into open source project. These are the steps you need to learn: Please do not edit thes
Semi-supervised Semantic Segmentation with Directional Context-aware Consistency (CVPR 2021)
Semi-supervised Semantic Segmentation with Directional Context-aware Consistency (CAC) Xin Lai*, Zhuotao Tian*, Li Jiang, Shu Liu, Hengshuang Zhao, Li
Creates fake JSON files from a JSON schema
Use jsf along with fake data generators to provide consistent and meaningful fake data for your system.
pymobiledevice fork with more recent coding standards and many more features
Description Features Installation Usage Sending your own messages Lockdown messages Instruments messages Example Lockdown services com.apple.instrumen
A simple 3D rigid body simulation written in python
pyRigidBody3d A simple 3D rigid body simulation written in python
Learning to Reconstruct 3D Manhattan Wireframes from a Single Image
Learning to Reconstruct 3D Manhattan Wireframes From a Single Image This repository contains the PyTorch implementation of the paper: Yichao Zhou, Hao
A Gura parser implementation for Python
Gura parser This repository contains the implementation of a Gura format parser in Python. Installation pip install gura-parser Usage import gura gur
企业微信消息推送的python封装接口,让你轻松用python实现对企业微信的消息推送
👋 corpwechat-bot是一个python封装的企业机器人&应用消息推送库,通过企业微信提供的api实现。 利用本库,你可以轻松地实现从服务器端发送一条文本、图片、视频、markdown等等消息到你的微信手机端,而不依赖于其他的第三方应用,如ServerChan。 如果喜欢该项目,记得给个
DataOps framework for Machine Learning projects.
Noronha DataOps Noronha is a Python framework designed to help you orchestrate and manage ML projects life-cycle. It hosts Machine Learning models ins
Telegram client written in GTK & Python
Meowgram GTK Telegram Client 🐱 Why Meogram? Meowgram = Meow + Gram :D Meow - Talking cats sound. It's a symbol of unique and user friendly UI of clie
Learn Python and the Django Framework by building a e-commerce website
The Django-Ecommerce is an open-source project initiative and tutorial series built with Python and the Django Framework.
Repo for "Event-Stream Representation for Human Gaits Identification Using Deep Neural Networks"
Summary This is the code for the paper Event-Stream Representation for Human Gaits Identification Using Deep Neural Networks by Yanxiang Wang, Xian Zh
Paddle-Adversarial-Toolbox (PAT) is a Python library for Deep Learning Security based on PaddlePaddle.
Paddle-Adversarial-Toolbox Paddle-Adversarial-Toolbox (PAT) is a Python library for Deep Learning Security based on PaddlePaddle. Model Zoo Common FGS
Pytorch code for ICRA'21 paper: "Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation"
Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation This repository is the pytorch implementation of our paper: Hierarchical Cr
Deep Probabilistic Programming Course @ DIKU
Deep Probabilistic Programming Course @ DIKU
An end-to-end machine learning library to directly optimize AUC loss
LibAUC An end-to-end machine learning library for AUC optimization. Why LibAUC? Deep AUC Maximization (DAM) is a paradigm for learning a deep neural n
An Unsupervised Graph-based Toolbox for Fraud Detection
An Unsupervised Graph-based Toolbox for Fraud Detection Introduction: UGFraud is an unsupervised graph-based fraud detection toolbox that integrates s
Official source code to CVPR'20 paper, "When2com: Multi-Agent Perception via Communication Graph Grouping"
When2com: Multi-Agent Perception via Communication Graph Grouping This is the PyTorch implementation of our paper: When2com: Multi-Agent Perception vi
Finding an Unsupervised Image Segmenter in each of your Deep Generative Models
Finding an Unsupervised Image Segmenter in each of your Deep Generative Models Description Recent research has shown that numerous human-interpretable
GPT, but made only out of gMLPs
GPT - gMLP This repository will attempt to crack long context autoregressive language modeling (GPT) using variations of gMLPs. Specifically, it will
Expressive Power of Invariant and Equivaraint Graph Neural Networks (ICLR 2021)
Expressive Power of Invariant and Equivaraint Graph Neural Networks In this repository, we show how to use powerful GNN (2-FGNN) to solve a graph alig
PyTorch implementation of the paper Deep Networks from the Principle of Rate Reduction
Deep Networks from the Principle of Rate Reduction This repository is the official PyTorch implementation of the paper Deep Networks from the Principl
Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization
Hybrid solving process for combinatorial optimization problems Combinatorial optimization has found applications in numerous fields, from aerospace to
Improving Deep Network Debuggability via Sparse Decision Layers
Improving Deep Network Debuggability via Sparse Decision Layers This repository contains the code for our paper: Leveraging Sparse Linear Layers for D
Apache Liminal is an end-to-end platform for data engineers & scientists, allowing them to build, train and deploy machine learning models in a robust and agile way
Apache Liminals goal is to operationalise the machine learning process, allowing data scientists to quickly transition from a successful experiment to an automated pipeline of model training, validation, deployment and inference in production. Liminal provides a Domain Specific Language to build ML workflows on top of Apache Airflow.
GitHub Actions Version Updater Updates All GitHub Action Versions in a Repository and Creates a Pull Request with the Changes.
GitHub Actions Version Updater GitHub Actions Version Updater is GitHub Action that is used to update other GitHub Actions in a Repository and create
A Lucid Framework for Transparent and Interpretable Machine Learning Models.
Currently a Beta-Version lucidmode is an open-source, low-code and lightweight Python framework for transparent and interpretable machine learning mod
Home Assistant custom integration for controlling Powered by Tuya (PBT) devices using Tuya Open API, officially maintained by the Tuya Developer Team.
Tuya Home Assistant Integration Home Assistant custom integration for controlling Powered by Tuya (PBT) devices using Tuya Open API, officially mainta
[WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"
GCA Source code for Graph Contrastive Learning with Adaptive Augmentation (WWW 2021) For example, to run GCA-Degree under WikiCS, execute: python trai
Widevine MPD Content Downloader & Decryptor
Widevine-DL Encrypted MPD Manifest Content Downloader + Decryptor (not a Widevine Key Extractor!) Requirements ffmpeg, yt-dlp, aria2, widevine-l3-decr
the code for our CVPR 2021 paper Bilateral Grid Learning for Stereo Matching Network [BGNet]
BGNet This repository contains the code for our CVPR 2021 paper Bilateral Grid Learning for Stereo Matching Network [BGNet] Environment Python 3.6.* C
Telegram File to Link Fastest Bot , also used for movies streaming
Telegram File Stream Bot ! A Telegram bot to stream files to web. Report a Bug | Request Feature About This Bot This bot will give you stream links fo