bcwingnut

bcwingnut's Stars

• checkcheckzz/system-design-interview

  System design interview for IT companies

  21.8k5.1k

• WeiliLiu/gesture-recognition-using-keypoints

  Human hand gesture recognition using key points generated by applying Mediapipe on Egogesture dataset

  Language:Jupyter Notebook21

• stanford-policylab/asr-disparities

  Code and data for Koenecke et al. (2020)

  Language:HTML2811

• mazzzystar/randomCNN-voice-transfer

  Audio style transfer with shallow random parameters CNN.

  Language:Python40476

• andabi/deep-voice-conversion

  Deep neural networks for voice conversion (voice style transfer) in Tensorflow

  Language:Python3.9k845

• openai/gpt-2

  Code for the paper "Language Models are Unsupervised Multitask Learners"

  Language:Python22.5k5.5k

• microsoft/PowerToys

  Windows system utilities to maximize productivity

  Language:C#111k6.5k

• amusi/awesome-lane-detection

  A paper list of lane detection.

  2.9k775

• davideast/react-ssr-firebase-hosting

  Server Side Rendering React on Firebase Hosting

  Language:JavaScript6015

• augcog/ROAR

  Robot Open Autonomous Racing (ROAR)

  Language:Jupyter Notebook26198

• toby-l-baker/assistive-mouse-capstone

  Empowering those who cannot use computer mouses/stylus' to be able to use them with only a webcam

  Language:C++82

• gibsjose/cpp-cheat-sheet

  C++ Syntax, Data Structures, and Algorithms Cheat Sheet

  Language:C++5k1.5k

• chiphuyen/machine-learning-systems-design

  A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"

  Language:HTML9.1k1.4k

• quantumiracle/Popular-RL-Algorithms

  PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

  Language:Jupyter Notebook1.1k128

• medipixel/rl_algorithms

  Structural implementation of RL key algorithms

  Language:Python51063

• msinto93/D4PG

  Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym environments.

  Language:Python12629

• Kaixhin/Rainbow

  Rainbow: Combining Improvements in Deep Reinforcement Learning

  Language:Python1.6k283

• rahulk29/spinningup

  An educational resource to help anyone learn deep reinforcement learning.

  Language:Python1

• justinjfu/doodad

  A job launching library for docker, EC2, GCP, etc.

  Language:Python5739

• rail-berkeley/softlearning

  Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

  Language:Python1.2k242

• rail-berkeley/rlkit

  Collection of reinforcement learning algorithms

  Language:Python2.5k554

• navneet-nmk/pytorch-rl

  This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

  Language:Python44155

• p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch

  PyTorch implementations of deep reinforcement learning algorithms and environments

  Language:Python5.6k1.2k

• higgsfield/RL-Adventure

  Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

  Language:Jupyter Notebook3k590

• qfettes/DeepRL-Tutorials

  Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

  Language:Jupyter Notebook1.1k324

• astooke/rlpyt

  Reinforcement Learning in PyTorch

  Language:Python2.2k325

• kashif/firedup

  Clone of OpenAI's Spinning Up in PyTorch

  Language:Python14625

• openai/baselines

  OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

  Language:Python15.8k4.9k

• MorvanZhou/Reinforcement-learning-with-tensorflow

  Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

  Language:Python8.9k5k

• rll/rllab

  rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

  Language:Python2.9k799