BoyuanChen's Stars
bmild/nerf
Code release for NeRF (Neural Radiance Fields)
raulmur/ORB_SLAM2
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
pytorch/captum
Model interpretability and understanding for PyTorch
rail-berkeley/rlkit
Collection of reinforcement learning algorithms
nmwsharp/polyscope
A C++ & Python viewer for 3D data like meshes and point clouds
Knio/dominate
Dominate is a Python library for creating and manipulating HTML documents using an elegant DOM API. It allows you to write HTML pages in pure Python very concisely, which eliminate the need to learn another template language, and to take advantage of the more powerful features of Python.
chvmp/champ
MIT Cheetah I Implementation
do-mpc/do-mpc
Model predictive control python toolbox
nicrusso7/rex-gym
OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
uber-archive/plato-research-dialogue-system
This is the Plato Research Dialogue System, a flexible platform for developing conversational AI agents.
eleurent/phd-bibliography
References on Optimal Control, Reinforcement Learning and Motion Planning
Shunichi09/PythonLinearNonlinearControl
PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.
neka-nat/probreg
Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)
XiaohangZhan/deocclusion
Code for our CVPR 2020 work.
SimonBlanke/Hyperactive
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
PistonY/torch-toolbox
🛠 Toolbox to extend PyTorch functionalities
thunguyenphuoc/RenderNet
Code for RenderNet: A deep convolutional network for differentiable rendering from 3D shapes
AboudyKreidieh/h-baselines
A repository of high-performing hierarchical reinforcement learning models and algorithms.
openai/orrb
Code for the paper "OpenAI Remote Rendering Backend"
cwkx/GON
Gradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder
qq456cvb/KeypointNet
KeypointNet: A Large-scale 3D Keypoint Dataset Aggregated from Numerous Human Annotations (CVPR2020)
huy-ha/pybullet-blender-recorder
jacobaustin123/Titan
A high-performance CUDA-based physics simulation sandbox for soft robotics and reinforcement learning.
maxwshen/iap-cidl
Causal Inference & Deep Learning, MIT IAP 2018
cvlab-columbia/oops
Code for Oops! Predicting Unintentional Action in Video
yanshil/Fusion2PyBullet
zhenjia-xu/DensePhysNet-Simulation
BoyuanChen/visual_behavior_modeling
rjk2147/Dynamics-Model-Search
swyetzner/dml-ide
DML is an IDE for modeling, simulating, and optimizing physical structures.