yuanqunyong Goto Github PK

adabound

An optimizer that trains as fast as Adam and as good as SGD.

awesome-deeplearning-resources

Deep Learning and deep reinforcement learning research papers and some codes

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

conference_call_for_paper

2018-2019 International Conferences in Artificial Intelligence, Computer Vision and Image Processing

deep-learning-landscape

An (incomplete) overview of recent advances on Deep Learning Landscape

deep-learning-models

Implementations of many popular deep learning models in Theano+Lasagne

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-residual-networks

Deep Residual Learning for Image Recognition

deeplearningbenchmarks

deeplearningbook-chinese

Deep Learning Book Chinese Translation

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

delta_orthogonal_init_pytorch

Delta Orthogonal Initialization for PyTorch

esgd

fixuporth-initiation

gitbook

gym

A toolkit for developing and comparing reinforcement learning algorithms.

hessian

hessian in pytorch

jan

Jan is an open source alternative to ChatGPT that runs 100% offline on your computer

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano.

layer-norm

Code and models from the paper "Layer Normalization"

learning-to-learn

Learning to Learn in TensorFlow

loss-visualization

This project is to visualize the loss landscape of neural networks. This project uses a CAFFE saved model for visualizing the loss landscape

neuraltalk

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

opendl

屹立深度之巅

othogonalwn

This project is the Torch implementation of our accepted AAAI 2018 paper : orthogonal weight normalization method for solving orthogonality constraints over Steifel manifold in deep neural networks (arXiv:1709.06079 )

python-100-days

Python - 100天从新手到大师

pytorch-autoneb

PyTorch AutoNEB implementation to identify minimum energy paths, e.g. in neural network loss landscapes

qix

Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang

reinforement

deep reinforement

resnet-in-tensorflow

Re-implement Kaiming He's deep residual networks in tensorflow. Can be trained with cifar10.