lewis-101's Stars
alexfrom0815/Packing-Tools
This repo share our packing tools to provide research convenience for beginners, which includes packing shape processing, rendering tools, and simulation scenarios.
facebookresearch/differentiable-robot-model
We are implementing differentiable models of robot manipulators, which allows us to learn typically assumed to be known models of robots for control and motion planning.
NVlabs/acronym
This repository contains a sample of the grasping dataset and tools to visualize grasps, generate random scenes, and render observations. The two sample files are in the HDF5 format.
QianMo/PBR-White-Paper
⚡️基于物理的渲染(PBR)白皮书 | White Paper of Physically Based Rendering(PBR)
facebookresearch/NGDF
Neural Grasp Distance Fields for Robot Manipulation
lllyasviel/Fooocus
Focus on prompting and generating
RayTracing/raytracing.github.io
Main Web Site (Online Books)
alexfrom0815/IR-BPP
Packing irregular objects with deep reinforcement learning.
alexfrom0815/Online-3D-BPP-PCT
Code implementation of "Learning Efficient Online 3D Bin Packing on Packing Configuration Trees". We propose to enhance the practical applicability of online 3D Bin Packing Problem (BPP) via learning on a hierarchical packing configuration tree which makes the deep reinforcement learning (DRL) model easy to deal with practical constraints and well-performing even with continuous solution space.
jingwenli0312/Heterogeneous-Attentions-PDP-DRL
yining043/PDP-N2S
This repo implements our paper, "Efficient Neural Neighborhood Search for Pickup and Delivery Problems", which has been accepted as short oral at IJCAI 2022.
pybind/pybind11
Seamless operability between C++11 and Python
ikostrikov/pytorch-a3c
PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
trunghieu-tran/Transfer-Learning-in-Reinforcement-Learning
Transfer Learning in Reinforcement Learning using Stable-Baseline3 | Transfer Reinforcement Learning for Differing Action Spaces via Q-Network Representations
majumderb/rezero
Official PyTorch Repo for "ReZero is All You Need: Fast Convergence at Large Depth"
KaimingHe/deep-residual-networks
Deep Residual Learning for Image Recognition
openai/sparse_attention
Examples of using sparse attention, as in "Generating Long Sequences with Sparse Transformers"
alexfrom0815/Online-3D-BPP-DRL
This repository contains the implementation of paper Online 3D Bin Packing with Constrained Deep Reinforcement Learning.
kevin031060/RL_TSP_4static
Deep Reinforcement Learning for Multiobjective Optimization. Code for this paper
emreyolcu/sat
Learning local search heuristics for Boolean satisfiability
ravi-lanka-4/CoPiEr
Co-training for Policy Learning
zcaicaros/L2D
Official implementation of paper "Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning"
yining043/VRP-DACT
This repo implements our paper, "Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer", which has been accepted at NeurIPS 2021.
wouterkool/attention-learn-to-route
Attention based model for learning to solve different routing problems
OptMLGroup/VRP-RL
Reinforcement Learning for Solving the Vehicle Routing Problem
jingwenli0312/HCVRP_DRL
This repo implements our paper, "Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem"
wchang22/ReSTIR_DR
Source Code for SIGGRAPH 2023 Paper "Parameter-space ReSTIR for Differentiable and Inverse Rendering"
mitsuba-renderer/drjit
Dr.Jit — A Just-In-Time-Compiler for Differentiable Rendering
mitsuba-renderer/enoki
Enoki: structured vectorization and differentiation on modern processor architectures
inverse-neural-radiosity/inverse-neural-radiosity
Code release for Inverse Global Illumination using a Neural Radiometric Prior