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action-recognition-visual-attention

Action recognition using soft attention based deep recurrent neural networks

adversarial

Conditional generative adversarial networks for convolutional face generation

adversarialnetspapers

The classical papers and codes about generative adversarial nets

ai-reading-list

Up to date list of the most interesting papers in AI

ai4animation

Bringing Characters to Life with Computer Brains in Unity

alphago

A replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search," details of which can be found on their website.

angrybirds

AI Final Project

ape-x

PyTorch Implementation of Distributed Prioritized Experience Replay(Ape-X)

applied-deep-learning-resources

A collection of research articles, blog posts, slides and code snippets about deep learning in applied settings.

auto-sklearn

autoencoders

Implementation of several different types of autoencoders

autograd

Efficiently computes derivatives of numpy code.

awesome

A curated list of awesome lists

awesome-bigdata

A curated list of awesome big data frameworks, ressources and other awesomeness.

awesome-caffe

Awesome Caffe

awesome-cpp

A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.

awesome-nlp

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

awesome-procedural-content-generation-with-ai

awesome-procedural content generation-with-AI

awesome-python

A curated list of awesome Python frameworks, libraries and software

awesome-synthtext

A curated list of awesome synthetic data for text location and recognition

awesome_tensorflow_implementations

bert

TensorFlow code and pre-trained models for BERT

bpl

Bayesian Program Learning model for one-shot learning

caffe

A fork of Caffe with OpenMPI-based Multi-GPU (mainly data parallel) support for action recognition and more. More documentation please see the original readme.

caffe-data-augmentation

a branc caffe with feature of Data Augmentation using a configurable stochastic combination of 7 data augmentation techniques.

caffe-model

Caffe models (includimg classification, detection and segmentation) and deploy files for famouse networks

caffe_code_analysis

Caffe_Code_Analysis

causalml

Uplift modeling and causal inference with machine learning algorithms

chamanti_ocr

Telugu OCR framework using RNN, CTC in Theano & Python3.

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers