timecracker Goto Github PK
Name: 时客
Type: User
Name: 时客
Type: User
PyTorch implementation of Advantage async actor-critic Algorithms (A3C) in PyTorch
Code and hyperparameters for the paper "Generative Adversarial Networks"
A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.
Hierarchical Attention Networks for Document Classification in PyTorch
:sunglasses: Curated list of awesome lists
A curated list of awesome Deep Learning tutorials, projects and communities.
The most cited deep learning papers
Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully.
A curated list of deep learning resources for computer vision
Recurrent Neural Network - A curated list of resources dedicated to RNN
Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training of neural networks"
implementation of SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
Essential Cheat Sheets for deep learning and machine learning researchers
CoNLL 2015 experiments involving deep intermediate multi-task learning in Keras
CoNLL 2016 experiments involving deep intermediate multi-task learning in Keras
A technical report on convolution arithmetic in the context of deep learning
Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.
A kit of starter code for CS229 Machine Learning course problem sets
Public facing notes page
Deep Convolutional Generative Adversarial Networks
Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow
Using Keras and Deep Deterministic Policy Gradient to play TORCS
An implementation of the Deep Deterministic Policy Gradient (DDPG) algorithm using Keras/Tensorflow with the robot simulated using ROS/Gazebo/MoveIt!
# Deep Learning with Keras and Tensorflow
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
A list of recent papers regarding deep reinforcement learning
TensorFlow implementation of Deep Reinforcement Learning papers
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.