Toronto

Wei-Cheng Tseng

Expert
@WeiChengTseng

CS Ph.D. student at UofT. My current research focuses on vision foundation model and robot learning.

Pytorch-PCGrad. Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"

403

awesome-multi-agent. A curated list of awesome multi-agent learning papers

64

CLA-NeRF.

16

cs231n-2017. Jupyter Notebook

12

DL_final_project. The is the final project of deep learning in NCTU.

9

WeiChengTseng.github.io. HTML

8

policy_transfer.

7

Basic_Peptides_Model. Python

5

NTHU-CV-hw1. Python

5

N-Queen-problem. Python

5

TensorFlow_template. simple tensorflow example for beginers

5

Yoontae6719.

4

SyntheticArticulatedData. Procedurally generated articulated objects specified in Universal Robot Description Format (URDF), and rendered using Mujoco.

4

RepDistiller. [ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

4

GeneralizingKinematics. GeneralizingKinematics!

4

YARR. Yet Another Robotics and Reinforcement (YARR) learning framework for PyTorch.

4

ScrewNet. Jupyter Notebook

4

multiagent-particle-envs. Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

4

CQL-pytorch.

4

WeiChengTseng.

4

DirectVoxGO. DirectVoxGO reconstructs a scene representation from a set of calibrated images capturing the scene. We achieve NeRF-comparable novel-view synthesis quality with super-fast convergence.

4

ARM. Q-attention (within the ARM system) and coarse-to-fine Q-attention (within C2F-ARM system).

4

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

4

awesome-NeRF. A curated list of awesome neural radiance fields papers

4

awesome-meta-learning.

4

RLBench. A large-scale benchmark and learning environment.

4

articulated-pose. [CVPR 2020, Oral] Category-Level Articulated Object Pose Estimation

4

PacMan_search. Python

4

GIGA. Official PyTorch implementation of Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations

3

apex_dqn_pytorch. Ape-x DQN implementation on Pikachu Volleyball

3

MAAC. Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019

3

GPU-fan-schedule.

3

shapenet_renderer. A clean, compact renderer for spherical images of shapenet objects in blender <2.8.

3

pixel-nerf. PixelNeRF Official Repository (WIP)

3

NCTU_DL_HW2. Python

3

pytorch-maml-rl. Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch

3

rllab-finetuning. Python

3

nerf-pytorch. A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

3

academicpages. Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

3

NTHU-CV-hw2. Python

3

option-critic-pytorch. PyTorch implementation of the Option-Critic framework proposed by Harb et al. 2016

3

RPM-Net. [SIGGRAPH Asia 2019] RPM-Net: Recurrent Prediction of Motion and Parts from Point Cloud

3

HAAR-A-Hierarchical-RL-Algorithm. Code accompanying HAAR paper, NeurIPS 2019 - Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards

2

M3RL. Mind-aware Multi-agent Management Reinforcement Learning

2

VAE_pytorch. Python

2

nthu-thesis-template. Moded LaTeX thesis template in NTHU 國立清華大學碩博士論文 XeLaTeX 模板😈魔改版

2

DeepMimic. Motion imitation with deep reinforcement learning.

2

VCD. Code for the paper Learning Visible Connectivity Dynamics for Cloth Smoothing

2

pytorch-a2c-ppo-acktr-gail. PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

2

ml-agents. Unity Machine Learning Agents Toolkit

2

CartPole_PPO. CartPole-v0 via PPO with GAE, PyTorch

2

NTHU-CV-hw3. Python

2

NCTU_DL_HW1. Python

2

MLDS_NTU_2018. Python

2

potential-field. Python

1
55
Apply