gongyanchao Goto Github PK

dog-project

AIND Term 2 -- CNN Project

dpsh_keras

drl-flappybird

Playing Flappy Bird Using Deep Reinforcement Learning (Based on Deep Q Learning DQN using Tensorflow)

facets

Visualizations for machine learning datasets

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit

fairseq-py

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

faster-rcnn_tf

Faster-RCNN in Tensorflow

feast

Feature Store for Machine Learning

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

image_captioning

Tensorflow implementation of "Show, Attend and Tell: Neural Image Caption Generation with Visual Attention"

influence-release

interpret

Fit interpretable models. Explain blackbox machine learning.

interprettensor

iot-adk-addonkit

Contains command line scripts for package creation and image creation process and samples for iot products based on RPi2/MBM

keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

keras-frcnn

keras-rl

Deep Reinforcement Learning for Keras.

kubecon-ml

🎱 A demonstration of existing machine learning toolkits on Kubernetes

literaturedl4graph

lrp_toolbox

The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Python. The Toolbox realizes LRP functionality for the Caffe Deep Learning Framework as an extension of Caffe source code published in 10/2015.

neon_course

neon tutorials

neural-style

Torch implementation of neural style algorithm

numpy-ml

Machine learning, in numpy

opencv

Open Source Computer Vision Library

oxford-cs-deepnlp-2017-lectures

Oxford Deep NLP 2017 course

pycv

Website of the book "Learn OpenCV 3 with Python"

python

some of Jay's shared python codes

pytorch-pretrained-bert

A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

rocalphago

An independent, student-led replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search" (Nature 529, 484-489, 28 Jan 2016), details of which can be found on their website https://deepmind.com/publications.html.