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adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

adversarialnetspapers

The classical paper list with code about generative adversarial nets

algorithmssedgewick

Code from the book "Algorithms" (4th ed.) by Robert Sedgewick and Kevin Wayne (original, and my solutions to exercises).

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

attention-transfer

Improving Convolutional Networks via Attention Transfer (ICLR 2017)

awesome-machine-learning

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

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

bert-for-tf2

A Keras TensorFlow 2.0 implementation of BERT, ALBERT and adapter-BERT.

book

学习笔记

c-primer-5th

c-primer-5th-exercises

caffe

Caffe: a fast open framework for deep learning.

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

cifar-10

cpp_study

follow me to study modern c++

ctci

Cracking the Coding Interview, 5th Edition

data-design

dcgan_code

Deep Convolutional Generative Adversarial Networks

deep-learning-tricks

Enumerate diverse machine learning training tricks.

deep-residual-networks

Deep Residual Learning for Image Recognition

deep-visualization-toolbox

DeepVis Toolbox

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

deeplearningbook-readingnotes

DeepLearningBook 读书会笔记及讲义

deeplearningimplementations

Implementation of some deep learning models

deeplearningtutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

deeprl-agents

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

densenet

Code for Densely Connected Convolutional Networks (DenseNets)

dice

The official implementation of "Disentangling User Interest and Conformity for Recommendation with Causal Embedding" (WWW '21)

eccv16_attr2img

Torch implementing of attribute2image project

edward

A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.