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[IROS 2024] Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation. [CoRL 2024] OmniH2O: Universal and Dexterous Human-to-Humanoid Whole-Body Teleoperation and Learning
🕊️ HATO: Learning Visuotactile Skills with Two Multifingered Hands
Tiny Differentiable Simulator is a header-only C++ and CUDA physics library for reinforcement learning and robotics with zero dependencies.
PyTorch implementation for all methods and environments in the paper "MIMEx: Intrinsic Rewards from Masked Input Modeling"
A collaboration friendly studio for NeRFs
Development repository for the Triton language and compiler
Research language for array processing in the Haskell/ML family
JAX - A curated list of resources https://github.com/google/jax
Find best-response to a fixed policy in multi-agent RL
A curated list of resources on implicit neural representations.
A PyTorch Library for Accelerating 3D Deep Learning Research
TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow
Multigrid iterative solver for a PDE problem
A topic-centric list of HQ open datasets.
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
🤖 Machine Learning Summer School deadlines
bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent
"Multi-Level Intermediate Representation" Compiler Infrastructure
Fast and Easy Infinite Neural Networks in Python
TensorFlow Neural Machine Translation Tutorial
A TensorFlow Implementation of the Transformer: Attention Is All You Need
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06
Keras implementations of Generative Adversarial Networks.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.