jaywu109
Follow
Stars
Lumina Robotics Talent Call | Lumina社区具身智能招贤榜 | A list for Embodied AI / Robotics Jobs (PhD, RA, intern, full-time, etc
Code for BAKU: An Efficient Transformer for Multi-Task Policy Learning
An open-source library for GPU-accelerated robot learning and sim-to-real transfer.
A Paper List for Humanoid Robot Learning.
[Lumina Embodied AI] 具身智能技术指南 Embodied-AI-Guide
A comprehensive list of papers about Robot Manipulation, including papers, codes, and related websites.
A paper list of my history reading. Robotics, Learning, Vision.
🦀️ CRAB: Cross-environment Agent Benchmark for Multimodal Language Model Agents. https://crab.camel-ai.org/
This repository compiles a list of papers related to the application of video technology in the field of robotics! Star⭐ the repo and follow me if you like what you see🤩.
Summary of key papers and blogs about diffusion models to learn about the topic. Detailed list of all published diffusion robotics papers.
Official implementation for: Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning ICLR'24
OpenTAD is an open-source temporal action detection (TAD) toolbox based on PyTorch.
Code for "MetaMorph: Learning Universal Controllers with Transformers", Gupta et al, ICLR 2022
This repository is a paper digest of recent advances in collaborative / cooperative / multi-agent perception for V2I / V2V / V2X autonomous driving scenario.
Deploy FastAI Trained PyTorch Model in TorchServe and Host in Amazon SageMaker Inference Endpoint
An ongoing implementation ros node on `fast segmentation of 3d point clouds: a paradigm`...
🤖 A selenium script to automatically apply to software engineering internships.
FP-Age: Leveraging Face Parsing Attention for Facial Age Estimation in the Wild
TENET: A Time-reversal Enhancement Network for noise-robust ASR (ASRU 2021).
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
Fast and Accurate ML in 3 Lines of Code
A unified framework for Deep Learning Models on tabular data
Codebase for INVASE: Instance-wise Variable Selection - 2019 ICLR
Machine Learning and Artificial Intelligence for Medicine.
Implementation code for the paper "Graph Neural Network-Based Anomaly Detection in Multivariate Time Series" (AAAI 2021)