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Ted JIANG's Projects

autoencoder icon autoencoder

Implementation of Semantic Hashing. Modified from Ruslan Salakhutdinov and Geoff Hinton's code of training Deep AutoEncoder

carla_rl icon carla_rl

Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]

cf2 icon cf2

Hierarchical Convolutional Features for Visual Tracking (ICCV 2015)

deeprl_pytorch icon deeprl_pytorch

Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.

fdsst_cpp icon fdsst_cpp

C++ re-implementation of fast Discriminative Scale Space Tracking.

gym icon gym

A toolkit for developing and comparing reinforcement learning algorithms.

javacs icon javacs

Data structures and algorithm in java

kcfcpp icon kcfcpp

C++ Implementation of KCF Tracker

maddpg icon maddpg

Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

modular-rl icon modular-rl

[ICML 2020] PyTorch Code for "One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control"

navigation icon navigation

ROS Navigation stack. Code for finding where the robot is and how it can get somewhere else.

neuralforecast icon neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms.

ngsim_env icon ngsim_env

Learning human driver models from NGSIM data with imitation learning.

pychatgpt icon pychatgpt

⚡️ Python client for the unofficial ChatGPT API with auto token regeneration, conversation tracking, proxy support and more.

python-rvo2 icon python-rvo2

Optimal Reciprocal Collision Avoidance, Python version

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