jkingf Goto Github PK

autonomous-rc-car

Self-driving RC Car ROS Software

capsule-network-tutorial

Pytorch easy-to-follow Capsule Network tutorial

cherry-autonomous-racecar

Implementation of the CNN from End to End Learning for Self-Driving Cars on a Nvidia Jetson TX1 using Tensorflow and ROS

chinesenlpcorpus

搜集、整理、发布 中文 自然语言处理 语料/数据集，与 有志之士 共同 促进 中文 自然语言处理 的 发展。

cs234

homework for CS234 2017

cs294

homework for CS294 Fall 2017

darknet

Convolutional Neural Networks

deep-learning-21-examples

《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码

deep_reinforcement_learning_course

Implementations from the free course Deep Reinforcement Learning with Tensorflow

dqn-tensorflow

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

holokitsdk

HoloKitSDK is to build AR apps for HoloKit. Currently, we provide the SDK as Unity package.

keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

labelimg

:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images

meta-learning-papers

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

mlds2018spring

Machine Learning And Having It Deep And Structured (MLDS, 2018 Spring) @ National Taiwan University

mlds2018spring-1

Machine Learning and having it Deep and Structured (MLDS) in 2018 spring

named-entity-recognition

nips2017-learningtorun

NIPS 2017 learning to run challenge

object-detection

Object detection with ssd_mobilenet and tiny-yolo (Add: YOLOV3)

pi_self_driving_car

使用树莓派3b来实现无人驾驶汽车

pymarl

Beta code release for Python Multi-Agent Reinforcement Learning framework

pytorch-pretrained-bert

📖The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.

pytorch-soft-actor-critic

PyTorch implementation of soft actor critic algorithm

randwirenn

Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"

recipes

reinforcement-learning-algorithms

This repository contains most of classic deep reinforcement learning algorithms, including - DQN, DDPG, A3C, PPO, TRPO. (More algorithms are still in progress)

reinforcement_learning_in_python

Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa

rl-adventure-2

PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay

rrt

Autonomous Robots - Sampling-based algorithms – Rapidly Exploring Random Tree - My Lab Work

seqgan

A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)