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awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

gym

A toolkit for developing and comparing reinforcement learning algorithms.

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

dlib

A toolkit for making real world machine learning and data analysis applications in C++

awesome-rl

Reinforcement learning resources curated

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

awesome-machine-learning-on-source-code

Cool links & research papers related to Machine Learning applied to source code (MLonCode)

datashader

Quickly and accurately render even the largest data.

deep-learning-book

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

DMTK

Microsoft Distributed Machine Learning Toolkit

quiver

Interactive convnet features visualization for Keras

lightning

Large-scale linear classification, regression and ranking in Python

cakechat

CakeChat: Emotional Generative Dialog System

metric-learn

Metric learning algorithms in Python

wide-residual-networks

3.8% and 18.3% on CIFAR-10 and CIFAR-100

fpn.pytorch

Pytorch implementation of Feature Pyramid Network (FPN) for Object Detection

lemniscate.pytorch

Unsupervised Feature Learning via Non-parametric Instance Discrimination

LargeVis

NAS-Bench-201

NAS-Bench-201 API and Instruction

ByteNet

A tensorflow implementation of French-to-English machine translation using DeepMind's ByteNet .

shablona

A template for small scientific python projects

img_classification_pk_pytorch

Quickly comparing your image classification models with the state-of-the-art models (such as DenseNet, ResNet, ...)

fuzzymatcher

Record linking package that fuzzy matches two Python pandas dataframes using sqlite3 fts4

vqa-counting

[ICLR 2018] Learning to Count Objects in Natural Images for Visual Question Answering

noisy_labels

TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER

FastAP-metric-learning

Code for CVPR 2019 paper "Deep Metric Learning to Rank"

address-matching

Python script for matching a list of messy addresses against a gazetteer using dedupe.

generating-neural-networks-with-neural-networks

Code that goes along with paper http://arxiv.org/abs/1801.01952

deep-mihash

Code for papers "Hashing with Mutual Information" (TPAMI 2019) and "Hashing with Binary Matrix Pursuit" (ECCV 2018)