A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap

Official inference library for Mistral models

The world's simplest facial recognition api for Python and the command line

An Open-Ended Embodied Agent with Large Language Models

Cogment Python SDK

Cogment platform, Cogment is the first open source platform designed to address the challenges of continuously training humans and AI together.

Research platform for Human-in-the-loop learning (HILL) & Multi-Agent Reinforcement Learning (MARL)

Implementation of Nougat Neural Optical Understanding for Academic Documents

Train embodied agents that can answer questions in environments

A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)

👀 Eye Tracking library easily implementable to your projects

Train transformer language models with reinforcement learning.

ToolBench, an evaluation suite for LLM tool manipulation capabilities.

Environment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula"

Running Llama 2 and other Open-Source LLMs on CPU Inference Locally for Document Q&A

This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

<⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.

A collection of polarization-based models in computer vision, including shape from polarization, polarization-based reflection removal.

A customizable hardware prefetching framework using online reinforcement learning as described in the MICRO 2021 paper by Bera et al. (https://arxiv.org/pdf/2109.12021.pdf).

Use d3.js to make interactive visualisations of NetworkX graphs.

It is my work with the 2 GB data set of cpu usase

🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.

Deep learning-based outlier/anomaly detection

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

TODS: An Automated Time-series Outlier Detection System

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…

Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…

An MVP that uses Google STT, OpenAI LLM, Nvidia Audio2Face