Code for Paper "Gradient Informed Proximal Policy Optimization" (NeurIPS 2023)

An open-source, GPU-accelerated physics simulation engine built upon NVIDIA Warp, specifically targeting roboticists and simulation researchers.

Implementation of SVRG and SAGA optimization algorithms for deep learning topics.

Reinforcement learning in differentiable multiphysics simulation with NVIDIA Warp.

A minimal(ish) reinforcement learning library that aggregates reliable implementations.

Unitree Go2 simulation platform for testing navigation, decision-making and autonomous tasks. (NVIDIA Isaac/ROS2)

Learn fundamental knowledge in robotics

This repo implements simple Faster RCNN model in PyTorch with all the essential components.

Hybrid Differentiable Simulation (HDS): Improving real-world deployment through data

[ICML 2024] The algorithm of Reinforcement Learning with an Assistant Reward Agent (ReLara)

Reimplementation of simple policy gradient algorithms such as REINFORCE and Actor-Critic methods.

Machine Learning for Automated Electrical Penetration Graph Analysis of Aphid Feeding Behavior: Accelerating Research on Insect-Plant Interactions

Tool convert Visdrone to COCO

Training and evaluation code for paper "Inference Fusion with Associative Semantics for Unseen Object Detection", AAAI 2021.

Medium Article: Interactive data analysis with dropdown menu ipywidgets and Plotly in Jupyter Notebook

Visualize large time series data with plotly.py

PyTorch implementation of the wavelet analysis from Torrence & Compo (1998)

PyTorch implementation of the wavelet analysis from Torrence & Compo (1998)

Rotation RetinaNet for arbitrary-oriented object detection.

A PyTorch implementation of The ICLR 2019 paper "Invariant and Equivariant Graph Networks" by Haggai Maron, Heli Ben-Hamu, Nadav Shamir and Yaron Lipman https://openreview.net/forum?id=Syx72jC9tm. …

Multiresolution Equivariant Graph Variational Autoencoder (MGVAE) https://arxiv.org/abs/2106.00967

LatentDE: Latent-based Directed Evolution for Protein Sequence Design

A simplified implemention of Faster R-CNN that replicate performance from origin paper

This is Region Proposal Network training example using VGG16 backbone with Pytorch

Unofficial Pytorch implementation of Inception layer for time series classification and its possible transposition for further use in Variational AutoEncoder

Symmetry-preserving & Multiresolution learning to solve NP-hard problems in Operations Research