Stars
Google, Naver multiprocess image web crawler (Selenium)
Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.
Code for Tensorflow Machine Learning Cookbook
Tensorflow Implementation of Yahoo's Open NSFW Model
Not Suitable for Work (NSFW) classification using deep neural network Caffe models.
Awesome paper list with code about generative adversarial nets
TensorFlow implementation of the CVPR 2018 spotlight paper, Deep Photo Enhancer: Unpaired Learning for Image Enhancement from Photographs with GANs
Implementation of NIMA: Neural Image Assessment in Keras
Diem’s mission is to build a trusted and innovative financial network that empowers people and businesses around the world.
KDD2019-Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation
kaldi-asr/kaldi is the official location of the Kaldi project.
Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著
Go AI program which implements the AlphaGo Zero paper
Clone a voice in 5 seconds to generate arbitrary speech in real-time
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Genetic Programming in Python, with a scikit-learn inspired API
A UNIVERSAL MUSIC TRANSLATION NETWORK - a method for translating music across musical instruments and styles.
PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models
This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.
An open source framework for seq2seq models in PyTorch.
Building Convolutional Neural Networks From Scratch using NumPy
Simple RNN, LSTM and Differentiable Neural Computer in pure Numpy
PyTorch implementation of "Generalized End-to-End Loss for Speaker Verification" by Wan, Li et al.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.