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pipeline

PipelineAI: Real-Time Enterprise AI Platform

plmpapers

Must-read Papers on pre-trained language models.

policy-adaptation-during-deployment

Training code and evaluation benchmarks for the "Self-Supervised Policy Adaptation during Deployment" paper.

polynote

A better notebook for Scala (and more)

pororo

PORORO: Platform Of neuRal mOdels for natuRal language prOcessing

ppo-implementations

PPO implementations in Gym environments. Requirements: pip install torch===1.2.0 torchvision===0.4.0 -f https://download.pytorch.org/whl/torch_stable.html

practicalai

📚 A practical approach to machine learning to enable everyone to learn, explore and build.

project-1

protobuf

Protocol Buffers - Google's data interchange format

pyslam

pySLAM is a 'toy' implementation of a Visual Odometry (VO) pipeline in Python

python-for-coding-test

[한빛미디어] "이것이 취업을 위한 코딩 테스트다 with 파이썬" 전체 소스코드 저장소입니다.

pytorch-awac

A PyTorch implementation for Advantage weighted Actor-Critic (AWAC)

pytorch-gat

My implementation of the original GAT paper (Veličković et al.). Jupyter Notebook coming soon and an inductive example as well. I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings and attention mechanism.

pytorch-pretrained-biggan

🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.

pytorch-stargan

StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation

pytorch-struct

Fast, general, and tested differentiable structured prediction in PyTorch

pytorch-transformers

👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)

pytorch-universal-docker-template

Template repository to build PyTorch projects from source on any version of PyTorch/CUDA/cuDNN.

qa-hard-em

An original implementation of EMNLP 2019, "A Discrete Hard EM Approach for Weakly Supervised Question Answering"

randomized-svd

demos for PyBay talk: Using Randomness to make code faster

ray

A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

rayshader

R Package for 2D and 3D mapping and data visualization

reactbootstrap

reactsample

realistic-neural-talking-head-models

My implementation of Few-Shot Adversarial Learning of Realistic Neural Talking Head Models (Egor Zakharov et al.).

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

resilientdb

ResilientDB: A scalable permissioned blockchain fabric

resteasy-spring-boot

RESTEasy Spring Boot Starter

rl_bootcamp

Repository for slides & codes of RL Korea Bootcamp

rlpyt

Reinforcement Learning in PyTorch