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Name: Matt Shaffer
Type: User
Company: RIOS
Twitter: _w_x_b_
Location: Palo Alto, CA
Blog: https://wx-b.github.io/
Name: Matt Shaffer
Type: User
Company: RIOS
Twitter: _w_x_b_
Location: Palo Alto, CA
Blog: https://wx-b.github.io/
CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
Official Pytorch implementation of CutMix regularizer
Rank the papers accepted to CVPR 2019 by the number of stars in their github repository
An offline deep reinforcement learning library
Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.
PyTorch 1.5 implementation for paper DECOR-GAN: 3D Shape Detailization by Conditional Refinement.
Train deep reinforcement learning model for robotics grasping. Choose from different perception layers raw Depth, RGBD and autoencoder. Test the learned models in different scenes and object datasets
Code accompanying "Learning What To Do by Simulating the Past", ICLR 2021.
A centralized place for deep thinking code and experiments
Code for "DeepVideoMVS: Multi-View Stereo on Video with Recurrent Spatio-Temporal Fusion" (CVPR 2021)
Deep Reinforcement Learning for Continuous Control in PyTorch
"DeepDPM: Deep Clustering With An Unknown Number of Clusters" [CVPR 2022]
Making the world a better place through AI-generated beats & grooves
Code for paper "DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers", CVPR2020
A cross-platform image annotation tool for machine learning
Motion imitation with deep reinforcement learning.
Code for: https://berkeleyautomation.github.io/bags/
This package provides a framework to automatically perform grasp tests on an arbitrary object model of choice.
Dense Correspondence Networks in Python3. Original repository at: https://github.com/RobotLocomotion/pytorch-dense-correspondence
Dense Depth Priors for Neural Radiance Fields from Sparse Input Views
Python code used to transform depth map to normal map
[ECCV 2022] Official PyTorch Code of DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection
TRI-ML Dataset Governance Policy
DIRL: Domain-Invariant Representation Learning
Code and pretrained models for our paper "Domain-invariant Similarity Activation Map Metric Learning for Retrieval-based Long-term Visual Localization"
The basic distribution probability Tutorial for Deep Learning Researchers
Contains code for "Deep Kernelized Dense Geometric Matching" (https://arxiv.org/abs/2202.00667)
Libraries, tools and tasks created and used at DeepMind Robotics.
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.