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mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

nips-grab

Grab papers from the NIPS conference proceedings pages

noreward-rl

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

noveltysearchlevenshteincode

Code to run experiments related to Novelty Search for Deep Reinforcement Learning Policy Network Weights by Action Sequence Edit Metric Distance

nri

Neural relational inference for interacting systems - pytorch

ntm-tensorflow

Neural Turing Machine in Tensorflow

openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, and hands estimation

open_spiel

OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

oreilly-rl-tutorial

Contains Jupyter notebooks associated with the "Deep Reinforcement Learning Tutorial" tutorial given at the O'Reilly 2017 NYC AI Conference.

overfeat

pat

🍭 浙江大学PAT题解(C/C++/Java/Python) - 努力成为萌萌的程序媛～

pat-1

浙江大学PAT题解

person-re-ranking

Person Re-ranking (CVPR 2017)

person-reid_gan

ICCV2017 Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro

person_reid_baseline_pytorch

Pytorch implement of Person re-identification baseline. We arrived Rank@1=88.24%, mAP=70.68% only with softmax loss. Re-ranking is added.

prioritized-experience-replay

implement of prioritized experience replay

prioritizedexperiencereplay

Yet another prioritized experience replay buffer implementation.

prml

PRML algorithms implemented in Python

prmlt

Matlab code for machine learning algorithms in book PRML

pwc

Papers with code. Sorted by stars. Updated weekly.

py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

py-mdnet

MDNet python implementation

python

All Algorithms implemented in Python

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-best-practice

PyTorch实践指南对应代码

pytorch-book

PyTorch：入门与实践

pytorch-cifar-models

3.41% and 17.11% error on CIFAR-10 and CIFAR-100

pytorch-large-scale-curiosity

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

randomizedvaluefunctions

Randomized Value Functions via Multiplicative Normalizing Flows