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mc_gradients

meta-learning-papers

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

modular_rl

Implementation of TRPO and related algorithms

naf-tensorflow

"Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow

naive_bayes_meet_adaboost

:email: Implement Naive Bayes and Adaboost from scratch and use them filter spam emails.

nerdcommenter

Vim plugin for intensely orgasmic commenting

neural-mmo

Neural MMO - A Massively Multiagent Game Environment

neural_factorization_machine

TenforFlow Implementation of Neural Factorization Machine

neuralwalker

Neural Walker in my AAAI-16 paper.

neurawkes

Source code of The Neural Hawkes Process

neuroner

Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.

nips14-ssl

Code for reproducing results of NIPS 2014 paper "Semi-Supervised Learning with Deep Generative Models"

open-location-code

Open Location Code is a library to generate short codes that can be used like street addresses, for places where street addresses don't exist.

opennmt-py

Open Source Neural Machine Translation in PyTorch

paddle

PArallel Distributed Deep LEarning

parl

PARL A high-performance distributed training framework for Reinforcement Learning

pilco

Bayesian Reinforcement Learning in Tensorflow

practical_rl

A course in reinforcement learning in the wild

prml

PRML algorithms implemented in Python

probabilistic-programming-and-bayesian-methods-for-hackers

Clone of book Probabilistic Programming and Bayesian Methods for Hackers by CamDavidsonPilon

product-nets

【PNN网络结构官方实现代码】 Tensorflow implementation of Product-based Neural Networks. An extended version is at https://github.com/Atomu2014/product-nets-distributed.

product-nets-distributed

distributed version of product-nets

pyadvancedcontrol

Python codes for advanced control

python-cobra

Automatically exported from code.google.com/p/python-cobra

pytorch-a2c-ppo-acktr-gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

pytorch-nce

The Noise Contrastive Estimation for softmax output written in Pytorch