Starred repositories
Combustion engine simulator that generates realistic audio.
A collection of custom post processing effects for Unity
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
A Python interface for Minecraft built on gRPC
Welcome to the AWS Code Examples Repository. This repo contains code examples used in the AWS documentation, AWS SDK Developer Guides, and more. For more information, see the Readme.md file below.
Unity Open Project #1: Chop Chop
[CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting
A Neuromodulated Meta-Learning algorithm
Deezer source separation library including pretrained models.
A python port (not a wrapper) of interception dll
Ongoing research training transformer models at scale
Implementation of Model-Agnostic Meta-Learning (MAML) in Jax
Low-code framework for building custom LLMs, neural networks, and other AI models
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement …
Python implementation of the NEAT neuroevolution algorithm
Kalman Filter, Smoother, and EM Algorithm for Python
Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoo…
Robustly estimate trend and periodicity in a timeseries.
Feather: fast, interoperable binary data frame storage for Python, R, and more powered by Apache Arrow
With Holoviews, your data visualizes itself.
A cross-platform file change monitor with multiple backends: Apple macOS File System Events, *BSD kqueue, Solaris/Illumos File Events Notification, Linux inotify and fanotify, Microsoft Windows and…
A toolkit for reproducible reinforcement learning research.
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.