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Friends don't let friends make certain types of data visualization - What are they and why are they bad.
A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
PyTorch implementation of Transformer model used in "Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case"
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Code for efficiently sampling functions from GP(flow) posteriors
Modular reinforcement learning library (on PyTorch and JAX) with support for NVIDIA Isaac Gym, Omniverse Isaac Gym and Isaac Lab
High throughput synchronous and asynchronous reinforcement learning
Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
[ICML'21] Think Global and Act Local: Bayesian Optimisation for Categorical and Mixed Search Spaces
🧠 A study guide to learn about Transformers
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
Minimal and Clean Reinforcement Learning Examples
Bayesian optimisation & Reinforcement Learning library developed by Huawei Noah's Ark Lab
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 …
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
The 'dwsimopt' is a Python library that automates DWSIM simulations for process optimization.
Chemical kinetics, thermodynamics, and transport tool suite
ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.
A collection of resources and papers on Diffusion Models
A latent text-to-image diffusion model
Materials for the Hugging Face Diffusion Models Course
Represent trained machine learning models as Pyomo optimization formulations
Distributed Asynchronous Hyperparameter Optimization in Python