kai-wren

kai-wren's Stars

• CMU-Perceptual-Computing-Lab/openpose

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

  Language:C++31.2k9222k7.9k

• dennybritz/reinforcement-learning

  Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

  Language:Jupyter Notebook20.6k8611556k

• openai/baselines

  OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

  Language:Python15.8k6468504.9k

• openai/spinningup

  An educational resource to help anyone learn deep reinforcement learning.

  Language:Python10.2k2272832.2k

• hyperopt/hyperopt

  Distributed Asynchronous Hyperparameter Optimization in Python

  Language:Python7.3k1216521.1k

• googlecreativelab/quickdraw-dataset

  Documentation on how to access and use the Quick, Draw! Dataset.

  6.2k20656944

• clauswilke/dataviz

  A book covering the fundamentals of data visualization

  Language:HTML3.2k113100701

• PacktPublishing/Deep-Reinforcement-Learning-Hands-On

  Hands-on Deep Reinforcement Learning, published by Packt

  Language:Python2.8k121811.3k

• Trusted-AI/AIF360

  A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

  Language:Python2.5k91251840

• IntelLabs/coach

  Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

  Language:Python2.3k126264461

• nikhilbarhate99/PPO-PyTorch

  Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

  Language:Python1.7k961351

• int8/monte-carlo-tree-search

  Monte carlo tree search in python

  Language:Python575107170

• mpSchrader/gym-sokoban

  Sokoban environment for OpenAI Gym

  Language:Python330103677

• GRAND-Lab/graph_datasets

  A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).

  2809473

• cyoon1729/deep-Q-networks

  Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51

  Language:Jupyter Notebook2756382

• WojciechMula/sse4-strstr

  SIMD (SWAR/SSE/SSE4/AVX2/AVX512F/ARM Neon) of Karp-Rabin algorithm's modification

  Language:C++239241429

• higgsfield/Imagination-Augmented-Agents

  Building Agents with Imagination: pytorch step-by-step implementation

  Language:Jupyter Notebook20515646

• PetterS/monte-carlo-tree-search

  Monte Carlo Tree Search with UCT with a couple of example games.

  Language:C++15017650

• rknaebel/discopy

  End-to-end shallow discourse parser

  Language:Python205194

• evelinag/star-wars-network-data

  Star Wars social network data

  8115

• digitalTranshumant/Wiki-examples

  Snipets of code around Wikipedia data

  Language:Jupyter Notebook6202

• mdavydov/ComputerVisionCourse

  5102

• Olloxan/Pytorch-A2C

  Language:Python4203

• pablomdata/ucu-automl

  AutoML course at UCU, Lviv

  Language:Jupyter Notebook4101

• vikua/aml-class-20

  UCU AML 2020

  Language:HTML32018

• thatwist/streaming-ucu-week2

  Week 2: Functional Programming in Scala

  Language:Scala2201

• TScheffler/2020grammarly_ws

  Workshop on Shallow Discourse Parsing at Grammarly, Kyiv, 2020

  Language:Jupyter Notebook2302

• thatwist/streaming-ucu-final-project

  Language:Scala1205

• thatwist/streaming-ucu-week3

  Language:Scala1201

• thatwist/streaming-ucu-week4

  Language:Scala1201