vaxenburg's Stars
mlflow/mlflow
Open source platform for the machine learning lifecycle
google/mediapy
This Python library makes it easy to display images and videos in a notebook.
kevinzakka/mujoco_utils
funkelab/gunpowder
A library to facilitate machine learning on multi-dimensional images.
kevinzakka/mujoco_scanned_objects
MuJoCo Models for Google's Scanned Objects Dataset
chromatix-team/chromatix
Differentiable wave optics using JAX! Documentation can be found at https://chromatix.readthedocs.io
Syllo/nvtop
GPU & Accelerator process monitoring for AMD, Apple, Huawei, Intel, NVIDIA and Qualcomm
astanin/python-tabulate
Pretty-print tabular data in Python, a library and a command-line utility. Repository migrated from bitbucket.org/astanin/python-tabulate.
MyoHub/myosuite
MyoSuite is a collection of environments/tasks to be solved by musculoskeletal models simulated with the MuJoCo physics engine and wrapped in the OpenAI gym API.
dabeaz-course/python-mastery
Advanced Python Mastery (course by @dabeaz)
danijar/elements
Building blocks for productive research
MyoHub/myo_sim
Musculoskeletal Models in MuJoCo
strawlab/drosophila_eye_map
Viewing directions (eye map) of each Drosophila ommatidium
overleaf/overleaf
A web-based collaborative LaTeX editor
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
google-deepmind/mujoco_menagerie
A collection of high-quality models for the MuJoCo physics engine, curated by Google DeepMind.
patrick-kidger/torchtyping
Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.
LyWangPX/Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions
Solutions of Reinforcement Learning, An Introduction
ray-project/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
JaneliaSciComp/ray-janelia
Run Python Ray on the Janelia cluster
google-deepmind/dm_env
A Python interface for reinforcement learning environments
google-deepmind/mujoco
Multi-Joint dynamics with Contact. A general purpose physics simulator.
google-deepmind/tree
tree is a library for working with nested data structures
google-deepmind/dm_control
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
arogozhnikov/einops
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
google/brax
Massively parallel rigidbody physics simulation on accelerator hardware.
torvalds/linux
Linux kernel source tree
google-deepmind/launchpad
google-deepmind/acme
A library of reinforcement learning components and agents
VirtualFlyBrain/training
Repository for training notebooks