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asap

Program for the analysis and visualization of whole-slide images in digital pathology

awesome-capsule-networks

A curated list of awesome resources related to capsule networks

awesome-causal-inference

A curated list of awesome work on causal inference, particularly in machine learning.

awesome-video-generation

A curated list of awesome work on video generation and video representation learning, and related topics.

awesome_ml_for_mental_health

A curated list of awesome work on machine learning for mental health applications. Includes topics broadly captured by affective computing. Facial expressions, speech analysis, emotion prediction, depression, interactions, psychiatry etc. etc.

banditlib

Library of contextual bandits algorithms

bandits

Python library for Multi-Armed Bandits

banditsbook

Code for my book on Multi-Armed Bandit Algorithms

caffe

Caffe: a fast open framework for deep learning.

caffe-tensorflow

Caffe models in TensorFlow

capsnet

CapsNet (Capsules Net) in Geoffrey E Hinton paper "Dynamic Routing Between Capsules" - State Of the Art

capsnet-keras

A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.34%.

capsnet-tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules

capsule

A Capsule Implement with Pure Keras

capsule-network-tutorial

Pytorch easy-to-follow Capsule Network tutorial

capsule-networks

A Tensorflow(v1.4) implementation of Capsule Networks (Dynamic Routing Between Capsules , https://arxiv.org/abs/1710.09829)

capsule-networks-1

A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".

capsule-networks-2

A Tensorflow implementation of Capsule Networks

capsule_networks

This is the code for "Capsule Networks: An Improvement to Convolutional Networks" by Siraj Raval on Youtube

capsulesem

A tensorflow implementation of Hinton's [matrix capsules with EM routing](https://openreview.net/pdf?id=HJWLfGWRb)

cats-vs-dogs-cnn-using-keras-

The training set consisted of 25,000 images out of which 5,000 images were taken out as validation data. Separate test data folder consisted of 12,500 images for which the labels were predicted using trained model. My work includes preprocessing for model, Data augmentation to prevent overfitting, callbacks in keras to reduce learning rate timely, various CNN architecture trials with different layers and hyperparameters for best fit and learning curve wrt epochs. I gained a validation accuracy of 87.15 % without using any pretrained imagenet models . VGG-16 gave around 89 % as validation accuracy.

ccf2016_sougou

ccf2016 sougou final winner solution

cf_bandit

chatbot

一个可以自己进行训练的中文聊天机器人， 根据自己的语料训练出自己想要的聊天机器人，可以用于智能客服、在线问答、智能聊天等场景。目前包含seq2seq、seqGAN版本、tf2.0版本、pytorch版本。

chinese-hip-pop-generation

Generate Chinese hip-pop lyrics using GAN

chinese-word-vectors

100+ Chinese Word Vectors 上百种预训练中文词向量

chinese-word2vec

word2vec/glove/swivel binary file on chinese corpus

cocoapi

COCO API - Dataset @ http://cocodataset.org/

cocox

CoCoX: Generating Conceptual and Counterfactual Explanations via Fault-Lines

conditional-seqgan-tensorflow

Conditional Sequence Generative Adversarial Network trained with policy gradient, Implementation in Tensorflow