13481 Repositories
Python neural-networks-and-deep-learning Libraries
Implementation of the method proposed in the paper "Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation"
Neural Descriptor Fields (NDF) PyTorch implementation for training continuous 3D neural fields to represent dense correspondence across objects, and u
Machine Learning algorithms implementation.
Machine Learning Algorithms Machine Learning algorithms implementation. What can I find here? ML Algorithms KNN K-Means-Clustering SVM (MultiClass) Pe
Generates images of calendar month tables and can paste them onto suitable photos.
📆 calendizer README Generates images of calendar month tables and can paste them onto suitable photos. A quick way to make your own calendar for prin
This tool crawls a list of websites and download all PDF and office documents
This tool crawls a list of websites and download all PDF and office documents. Then it analyses the PDF documents and tries to detect accessibility issues.
Validation and inference over LinkML instance data using souffle
Translates LinkML schemas into Datalog programs and executes them using Souffle, enabling advanced validation and inference over instance data
An ETL framework + Monitoring UI/API (experimental project for learning purposes)
Fastlane An ETL framework for building pipelines, and Flask based web API/UI for monitoring pipelines. Project structure fastlane |- fastlane: (ETL fr
An ongoing curated list of OS X best applications, libraries, frameworks and tools to help developers set up their macOS Laptop.
macOS Development Setup Welcome to MacOS Local Development & Setup. An ongoing curated list of OS X best applications, libraries, frameworks and tools
Add your recently blog and douban states in your GitHub Profile
Add your recently blog and douban states in your GitHub Profile
Cli tool to browse and play anime
browse and watch anime (scrape from gogoanime) (wip) basically ani-cli but in python cuz python good demo dependencies mpv installation from pypi pip
Visual Adversarial Imitation Learning using Variational Models (VMAIL)
Visual Adversarial Imitation Learning using Variational Models (VMAIL) This is the official implementation of the NeurIPS 2021 paper. Project website
Fetching Cryptocurrency Prices from Coingecko and Displaying them on Grafana
cryptocurrency-prices-grafana Fetching Cryptocurrency Prices from Coingecko and Displaying them on Grafana About This stack consists of: Prometheus (t
Codes for TIM2021 paper "Anchor-Based Spatio-Temporal Attention 3-D Convolutional Networks for Dynamic 3-D Point Cloud Sequences"
Codes for TIM2021 paper "Anchor-Based Spatio-Temporal Attention 3-D Convolutional Networks for Dynamic 3-D Point Cloud Sequences"
Interact and easily use Google Chat room webhooks.
Chat Webhooks Easily interact and send messages with Google Chat's webhooks feature. This API is small, but should be a nice framework for working wit
SOLO and SOLOv2 for instance segmentation, ECCV 2020 & NeurIPS 2020.
SOLO: Segmenting Objects by Locations This project hosts the code for implementing the SOLO algorithms for instance segmentation. SOLO: Segmenting Obj
Python Data Structures and Algorithms
No non-sense and no BS repo for how data structure code should be in Python - simple and elegant.
Flaskr: Intro to Flask, Test-Driven Development (TDD), and JavaScript
Flaskr - Intro to Flask, Test-Driven Development, and JavaScript Share on Twitter As many of you know, Flaskr -- a mini-blog-like-app -- is the app th
Learn python and flask,just a tony blog system
flaskblog Learn python and flask,just a tony blog system based on flask and mysql It is similar to cleanblog, a blog system based on flask and mongoen
A clean and simple blog system based on Flask and MongoDB
CleanBlog A clean and simple blog system based on Flask and MongoDB You can access CleanBlog This is the source code of Flask Tutorial Pro,you can buy
A small timeseries transformation API built on Flask and Pandas
#Mcflyin ###A timeseries transformation API built on Pandas and Flask This is a small demo of an API to do timeseries transformations built on Flask a
Live tracking, flight database and competition framework
SkyLines SkyLines is a web platform where pilots can share their flights with others after, or even during flight via live tracking. SkyLines is a sor
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Apache Airflow Apache Airflow (or simply Airflow) is a platform to programmatically author, schedule, and monitor workflows. When workflows are define
Security Monkey monitors AWS, GCP, OpenStack, and GitHub orgs for assets and their changes over time.
NOTE: Security Monkey is in maintenance mode and will be end-of-life in 2020. For AWS users, please make use of AWS Config. For GCP users, please make
1st Online Python Editor With Live Syntax Checking and Execution
PythonBuddy 🖊️ 🐍 Online Python 3 Programming with Live Pylint Syntax Checking! Usage Fetch from repo: git clone https://github.com/ethanchewy/Python
A flask template with Bootstrap 4, asset bundling+minification with webpack, starter templates, and registration/authentication.
cookiecutter-flask A Flask template for cookiecutter. (Supports Python ≥ 3.6) See this repo for an example project generated from the most recent vers
Template for a rest app with flask, flask-rest and more...
Flask REST Template About the project (some comments): The ideia behind the project is to create an useful and simple template for an rest app . Besid
Django Federated Login provides an authentication bridge between Django projects and OpenID-enabled identity providers.
Django Federated Login Django Federated Login provides an authentication bridge between Django projects and OpenID-enabled identity providers. The bri
A free micro-blog written in Python and powered by Heroku. *Merge requests are appreciated!*
Background Hobo is an ultra-lightweight blog engine written in Python. It has two dependencies, fully integrated into the codebase with no additional
Built from scratch to replicate some of the Django admin functionality and add some more, to serve as an introspective interface for Django and Mongo.
django-mongonaut Info: An introspective interface for Django and MongoDB. Version: 0.2.21 Maintainer: Jazzband (jazzband.co) This Project is Being Mov
A library that makes consuming a RESTful API easier and more convenient
Slumber is a Python library that provides a convenient yet powerful object-oriented interface to ReSTful APIs. It acts as a wrapper around the excellent requests library and abstracts away the handling of URLs, serialization, and request processing.
A collection of models, views, middlewares, and forms to help secure a Django project.
Django-Security This package offers a number of models, views, middlewares and forms to facilitate security hardening of Django applications. Full doc
This is Unofficial Repo. Lips Don't Lie: A Generalisable and Robust Approach to Face Forgery Detection (CVPR 2021)
Lips Don't Lie: A Generalisable and Robust Approach to Face Forgery Detection This is a PyTorch implementation of the LipForensics paper. This is an U
An implementation of the methods presented in Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data.
An implementation of the methods presented in Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data.
HDMapNet: A Local Semantic Map Learning and Evaluation Framework
HDMapNet_devkit Devkit for HDMapNet. HDMapNet: A Local Semantic Map Learning and Evaluation Framework Qi Li, Yue Wang, Yilun Wang, Hang Zhao [Paper] [
Tensorflow 2 implementations of the C-SimCLR and C-BYOL self-supervised visual representation methods from "Compressive Visual Representations" (NeurIPS 2021)
Compressive Visual Representations This repository contains the source code for our paper, Compressive Visual Representations. We developed informatio
[NeurIPS 2021] Shape from Blur: Recovering Textured 3D Shape and Motion of Fast Moving Objects
[NeurIPS 2021] Shape from Blur: Recovering Textured 3D Shape and Motion of Fast Moving Objects YouTube | arXiv Prerequisites Kaolin is available here:
Supplemental learning materials for "Fourier Feature Networks and Neural Volume Rendering"
Fourier Feature Networks and Neural Volume Rendering This repository is a companion to a lecture given at the University of Cambridge Engineering Depa
Contrastive Learning of Image Representations with Cross-Video Cycle-Consistency
Contrastive Learning of Image Representations with Cross-Video Cycle-Consistency This is a official implementation of the CycleContrast introduced in
VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning
VarCLR: Variable Representation Pre-training via Contrastive Learning New: Paper accepted by ICSE 2022. Preprint at arXiv! This repository contain
Plenoxels: Radiance Fields without Neural Networks, Code release WIP
Plenoxels: Radiance Fields without Neural Networks Alex Yu*, Sara Fridovich-Keil*, Matthew Tancik, Qinhong Chen, Benjamin Recht, Angjoo Kanazawa UC Be
ShinRL: A Library for Evaluating RL Algorithms from Theoretical and Practical Perspectives
Status: Under development (expect bug fixes and huge updates) ShinRL: A Library for Evaluating RL Algorithms from Theoretical and Practical Perspectiv
[KDD 2021, Research Track] DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks
DiffMG This repository contains the code for our KDD 2021 Research Track paper: DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neura
Code for paper "Extract, Denoise and Enforce: Evaluating and Improving Concept Preservation for Text-to-Text Generation" EMNLP 2021
The repo provides the code for paper "Extract, Denoise and Enforce: Evaluating and Improving Concept Preservation for Text-to-Text Generation" EMNLP 2
K-PLUG: Knowledge-injected Pre-trained Language Model for Natural Language Understanding and Generation in E-Commerce (EMNLP Founding 2021)
Introduction K-PLUG: Knowledge-injected Pre-trained Language Model for Natural Language Understanding and Generation in E-Commerce. Installation PyTor
Experiments for Neural Flows paper
Neural Flows: Efficient Alternative to Neural ODEs [arxiv] TL;DR: We directly model the neural ODE solutions with neural flows, which is much faster a
PyTorch implementation of our paper: "Artistic Style Transfer with Internal-external Learning and Contrastive Learning"
Artistic Style Transfer with Internal-external Learning and Contrastive Learning This is the official PyTorch implementation of our paper: "Artistic S
Open MLOps - A Production-focused Open-Source Machine Learning Framework
Open MLOps - A Production-focused Open-Source Machine Learning Framework Open MLOps is a set of open-source tools carefully chosen to ease user experi
Code for CVPR2019 paper《Unequal Training for Deep Face Recognition with Long Tailed Noisy Data》
Unequal-Training-for-Deep-Face-Recognition-with-Long-Tailed-Noisy-Data. This is the code of CVPR 2019 paper《Unequal Training for Deep Face Recognition
Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019
Class-Balanced Loss Based on Effective Number of Samples Tensorflow code for the paper: Class-Balanced Loss Based on Effective Number of Samples Yin C
[NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss Kaidi Cao, Colin Wei, Adrien Gaidon, Nikos Arechiga, Tengyu Ma This is the offi
NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).
Meta-Weight-Net NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Official Pytorch implementation for noisy labels). The
Code for Learning to Segment The Tail (LST)
Learning to Segment the Tail [arXiv] In this repository, we release code for Learning to Segment The Tail (LST). The code is directly modified from th
Codes for "Solving Long-tailed Recognition with Deep Realistic Taxonomic Classifier"
Deep-RTC [project page] This repository contains the source code accompanying our ECCV 2020 paper. Solving Long-tailed Recognition with Deep Realistic
Code for "Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification", ECCV 2020 Spotlight
Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification Implementation of "Learning From Multiple Experts: Se
Official Repository for our ECCV2020 paper: Imbalanced Continual Learning with Partitioning Reservoir Sampling
Imbalanced Continual Learning with Partioning Reservoir Sampling This repository contains the official PyTorch implementation and the dataset for our
Implementation of ECCV20 paper: the devil is in classification: a simple framework for long-tail object detection and instance segmentation
Implementation of our ECCV 2020 paper The Devil is in Classification: A Simple Framework for Long-tail Instance Segmentation This repo contains code o
[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning
Rethinking the Value of Labels for Improving Class-Imbalanced Learning This repository contains the implementation code for paper: Rethinking the Valu
[NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation (LVIS).
A Strong Single-Stage Baseline for Long-Tailed Problems This project provides a strong single-stage baseline for Long-Tailed Classification (under Ima
Imbalaced Classification and Robust Semantic Segmentation
Imbalaced Classification and Robust Semantic Segmentation This repo implements two algoritms. The imbalance clibration (IC) algorithm for image classi
Conceptual 12M is a dataset containing (image-URL, caption) pairs collected for vision-and-language pre-training.
Conceptual 12M We introduce the Conceptual 12M (CC12M), a dataset with ~12 million image-text pairs meant to be used for vision-and-language pre-train
Repo for CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning
CReST in Tensorflow 2 Code for the paper: "CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning" by Chen Wei, Ki
Official PyTorch implementation of RIO
Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection Figure 1: Our proposed Resampling at image-level and obect-
Mosaic of Object-centric Images as Scene-centric Images (MosaicOS) for long-tailed object detection and instance segmentation.
MosaicOS Mosaic of Object-centric Images as Scene-centric Images (MosaicOS) for long-tailed object detection and instance segmentation. Introduction M
Supercharging Imbalanced Data Learning WithCausal Representation Transfer
ECRT: Energy-based Causal Representation Transfer Code for Supercharging Imbalanced Data Learning With Energy-basedContrastive Representation Transfer
Normalization Calibration (NorCal) for Long-Tailed Object Detection and Instance Segmentation
NorCal Normalization Calibration (NorCal) for Long-Tailed Object Detection and Instance Segmentation On Model Calibration for Long-Tailed Object Detec
Machine Learning automation and tracking
The Open-Source MLOps Orchestration Framework MLRun is an open-source MLOps framework that offers an integrative approach to managing your machine-lea
ZenML 🙏: MLOps framework to create reproducible ML pipelines for production machine learning.
ZenML is an extensible, open-source MLOps framework to create production-ready machine learning pipelines. It has a simple, flexible syntax, is cloud and tool agnostic, and has interfaces/abstractions that are catered towards ML workflows.
Kubernetes-native workflow automation platform for complex, mission-critical data and ML processes at scale. It has been battle-tested at Lyft, Spotify, Freenome, and others and is truly open-source.
Flyte Flyte is a workflow automation platform for complex, mission-critical data, and ML processes at scale Home Page · Quick Start · Documentation ·
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
Seldon Core: Blazing Fast, Industry-Ready ML An open source platform to deploy your machine learning models on Kubernetes at massive scale. Overview S
A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.
WebDataset WebDataset is a PyTorch Dataset (IterableDataset) implementation providing efficient access to datasets stored in POSIX tar archives and us
Uni-Fold: Training your own deep protein-folding models.
Uni-Fold: Training your own deep protein-folding models. This package provides and implementation of a trainable, Transformer-based deep protein foldi
The Balloon Learning Environment - flying stratospheric balloons with deep reinforcement learning.
Balloon Learning Environment Docs The Balloon Learning Environment (BLE) is a simulator for stratospheric balloons. It is designed as a benchmark envi
Automate issue discovery for your projects against Lightning nightly and releases.
Automated Testing for Lightning EcoSystem Projects Automate issue discovery for your projects against Lightning nightly and releases. You get CPUs, Mu
Tools for computational pathology
A toolkit for computational pathology and machine learning. View documentation Please cite our paper Installation There are several ways to install Pa
Neural search engine for AI papers
Papers search Neural search engine for ML papers. Demo Usage is simple: input an abstract, get the matching papers. The following demo also showcases
State-of-the-art NLP through transformer models in a modular design and consistent APIs.
Trapper (Transformers wRAPPER) Trapper is an NLP library that aims to make it easier to train transformer based models on downstream tasks. It wraps h
Download and preprocess popular sequential recommendation datasets
Sequential Recommendation Datasets This repository collects some commonly used sequential recommendation datasets in recent research papers and provid
An eBay-like e-commerce auction site that will allow users to post auction listings, place bids on listings, comment on those listings, and add listings to a watchlist.
e-commerce-auction-site This repository is my solution to Commerce project of CS50’s Web Programming with Python and JavaScript course by Harvard. 🚀
Official Code for AdvRush: Searching for Adversarially Robust Neural Architectures (ICCV '21)
AdvRush Official Code for AdvRush: Searching for Adversarially Robust Neural Architectures (ICCV '21) Environmental Set-up Python == 3.6.12, PyTorch =
The mock Pokemon Environment I built in 2019 to study Reinforcement Learning + Pokemon
ghetto-pokemon-rl-environment ##NOT MAINTAINED! Fork and maintain yourself. Environment I made back in 2019 to use Pokemon to practice reinforcement l
Pytorch Implementations of large number classical backbone CNNs, data enhancement, torch loss, attention, visualization and some common algorithms.
Torch-template-for-deep-learning Pytorch implementations of some **classical backbone CNNs, data enhancement, torch loss, attention, visualization and
Pynavt is a cli tool to create clean architecture app for you including Fastapi, bcrypt and jwt.
Pynavt _____ _ | __ \ | | | |__) | _ _ __ __ ___ _| |_ | ___/ | | | '_ \ / _` \ \ / /
Sample python script for monitoring Rocketchat database and get statistics of users.
rocketchat-DB-monitoring Sample python script for monitoring Rocketchat database and get statistics of users. 1. Update python: yum check-update && yu
Takes upcoming items from a Google Calendar and posts them to Slack.
Google Calendar to Slack by Jason Snell - [email protected] This Python script scrapes upcoming items from Google Calendar HTML and posts them to S
Visualizer using audio and semantic analysis to explore BigGAN (Brock et al., 2018) latent space.
BigGAN Audio Visualizer Description This visualizer explores BigGAN (Brock et al., 2018) latent space by using pitch/tempo of an audio file to generat
Public repository of the 3DV 2021 paper "Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Clouds"
Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Clouds Björn Michele1), Alexandre Boulch1), Gilles Puy1), Maxime Bucher1) and Rena
Script Crack Facebook, and Instagram 🚶♂
in-mbf Script Crack Facebook, and Instagram 🚶♂ Bukti Install Script $ pkg update && pkg upgrade $ pkg install git $ pkg install python2 $ pip2 insta
Takes a file of hosts or domains and outputs the IP address of each host/domain in the file.
Takes a file of hosts or domains and outputs the IP address of each host/domain in the file. Installation $ git clone https://github.com/whoamisec75/i
EMNLP 2021 paper Models and Datasets for Cross-Lingual Summarisation.
This repository contains data and code for our EMNLP 2021 paper Models and Datasets for Cross-Lingual Summarisation. Please contact me at [email protected]
Version three of the Accounting Project. You can now connect multiple computers together who are on the same IP (I'm sure I could set it up so it would work on different IP's) and add to a distributed ledger verified by blockchain.
Accounting_Cycle_V3 As I talked about in the second iteration of the accoutning project, I was going to add networking capabilities to the project. Re
Fuzz introspector is a tool to help fuzzer developers to get an understanding of their fuzzer’s performance and identify any potential blockers.
Fuzz introspector Fuzz introspector is a tool to help fuzzer developers to get an understanding of their fuzzer’s performance and identify any potenti
A modular application for performing anomaly detection in networks
Deep-Learning-Models-for-Network-Annomaly-Detection The modular app consists for mainly three annomaly detection algorithms. The system supports model
Download images where login is required using har python and js
이미지 다운로드(har, python, js 사용) 로그인이 필요한 사이트에서 DevTools로 이미지를 다운받는 방법은 조금 까다로웠다. 가장 쉽게 할 수 있는 방법을 찾아보았다. 사용법 F12를 눌러 DevTools를 실행 Network 탭으로 이동 페이지 새로고침
Temperature Monitoring and Prediction Using a Modified Lambda Architecture
Temperature Monitoring and Prediction Using a Modified Lambda Architecture A more detailed write up can be seen in this paper. Original Lambda Archite
Make dbt docs and Apache Superset talk to one another
dbt-superset-lineage Make dbt docs and Apache Superset talk to one another Why do I need something like this? Odds are rather high that you use dbt to
Athens: a great tool for taking notes and organising knowldge
AthensSyncer Athens is a great tool for taking notes and organising knowldge. But it is a bummer that you cannot use it accross multiple devices. Well
A Telegram Music Bot with proper functions written in Python with Pyrogram and Py-Tgcalls.
⭐️ Yukki Music Bot ⭐️ A Telegram Music Bot written in Python using Pyrogram and Py-Tgcalls Ready to use method A Support Group and ready-to-use runnin
Systemic Evolutionary Chemical Space Exploration for Drug Discovery
SECSE SECSE: Systemic Evolutionary Chemical Space Explorer Chemical space exploration is a major task of the hit-finding process during the pursuit of
A short code in python, Enchpyter, is able to encrypt and decrypt words as you determine, of course
Enchpyter Enchpyter is a program do encrypt and decrypt any word you want (just letters). You enter how many letters jumps and write the word, so, the
Robustness between the worst and average case
Robustness between the worst and average case A repository that implements intermediate robustness training and evaluation from the NeurIPS 2021 paper