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DSPy: The framework for programming—not prompting—foundation models
Implementation of the Feedforward Multichannel Virtual Sensing Active Noise Control (MVANC) by Using MATLAB
An offline deep reinforcement learning library
Behavior Trees Library in C++. Batteries included.
A Native-PyTorch Library for LLM Fine-tuning
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…
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
MAGMA - a GPT-style multimodal model that can understand any combination of images and language. NOTE: The freely available model from this repo is only a demo. For the latest multimodal and multil…
Accelerate your Hugging Face Transformers 7.6-9x. Native to Hugging Face and PyTorch.
A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites
C++ library for Fearless Timeseries Logging
RosTeamWorkspace is a framework for boosting collaboration in teams when developing software for robots using Robot Operating System (ROS1 and ROS2).
A collection of GPT system prompts and various prompt injection/leaking knowledge.
URDF models of sensors and other components offered alongside with Husarion robots
Reinforcement Learning with Model Predictive Control
Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.
LostRuins / koboldcpp
Forked from ggerganov/llama.cppA simple one-file way to run various GGML and GGUF models with a KoboldAI UI
A curated list of reinforcement learning with human feedback resources (continually updated)
ROS extensions and implementations for py_trees
Vitis AI is Xilinx’s development stack for AI inference on Xilinx hardware platforms, including both edge devices and Alveo cards.
Vehicle Signal Specification - standardized way to describe automotive data
PyTorch code and models for the DINOv2 self-supervised learning method.
