lianhaoyin Goto Github PK
Name: Lianhao Yin
Type: User
Location: Cambridge, MA, US
Name: Lianhao Yin
Type: User
Location: Cambridge, MA, US
Drone Racing @ NeurIPS 2019, built on Microsoft AirSim
BayesianNonparametrics in julia
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Repo for the Deep Reinforcement Learning Nanodegree program
Code for FlowCam
Code for reproducing Flow ++ experiments
A Strong and Easy-to-use Single View 3D Hand+Body Pose Estimator
JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.
a starter-kit for jaynes, the cloud-agnostic launch library
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
Official Open Source code for "Masked Autoencoders As Spatiotemporal Learners"
🦁 A library of multi-agent reinforcement learning systems and components
The official repository for MedSAM: Segment Anything in Medical Images.
OpenMMLab Pose Estimation Toolbox and Benchmark.
A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.
:notebook: Non-parametric Bayesian Inference for Conservation Decisions
Nonparametric Bayesian Inference for Sequential Data. Includes state-of-the-art MCMC inference for Beta process Hidden Markov Models (BP-HMM). Implemented in Matlab.
Bayesian Nonparametric Federated Learning of Neural Networks
Really Fast End-to-End Jax RL Implementations
Python Multi-Agent Reinforcement Learning framework
Python sample codes for robotics algorithms.
Easy generative modeling in PyTorch.
Pytorch implementation of the HLS4ML 3 Layer Jet Tagging model, including a standard Pytorch (float) and a Quantized (via Xilinx's Brevitas library) implementation. designed for use with the HLS4ML LHC Jet dataset (100 particles): https://zenodo.org/record/3602254
Visualizing image-specific class saliency map in classification ConvNets in Pytorch
A curated collection of places where you can learn robotics, algorithms, and other useful tools for aspiring robotics software engineers.
An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.