Repository History
96 repositories tagged with Machine Learning
AI Engineering from Scratch: A Comprehensive Hands-On AI Curriculum
The "AI Engineering from Scratch" repository provides a free, MIT-licensed curriculum for mastering AI engineering from foundational math to advanced agent systems. It emphasizes a hands-on approach, guiding learners to build every algorithm from scratch before utilizing frameworks. With 435 lessons across 20 phases, this project equips students with the practical skills needed to professionally build and deploy AI solutions.
JARVIS: Connecting LLMs with the ML Community for AGI Exploration
JARVIS is an innovative system developed by Microsoft that aims to bridge Large Language Models (LLMs) with the broader Machine Learning community. It serves as a collaborative platform, using an LLM as a controller to orchestrate numerous expert models from Hugging Face Hub, thereby facilitating the exploration of Artificial General Intelligence (AGI) and solving complex AI tasks. This system streamlines the process of task planning, model selection, execution, and response generation.
fastFM: A High-Performance Python Library for Factorization Machines
fastFM is a powerful Python library designed for Factorization Machines, offering high-performance implementations of various optimization routines. It integrates seamlessly with the scikit-learn API, making it accessible for machine learning practitioners. The library supports regression, classification, and ranking problems, leveraging C and Cython for speed-critical operations.
LLMGym: A Unified Environment for LLM Agent Development and Benchmarking
LLMGym is a unified environment interface designed for developing and benchmarking LLM applications that learn from feedback. It provides a suite of seamlessly swappable environments, making fair and comprehensive comparisons easier for researchers and developers. This project aims to be the "gym" for LLM agents, offering an intuitive interface for various tasks.
tortoise.cpp: Local Text-to-Speech with GGML and C++
tortoise.cpp is a C++ re-implementation of the popular Tortoise-TTS model, leveraging the efficient GGML library. This project enables high-quality, local text-to-speech generation without the need for Python dependencies. It aims to make advanced speech synthesis more accessible and performant on various hardware configurations.
Qwen3: Alibaba Cloud's Advanced Large Language Model Series
Qwen3 is a powerful series of large language models developed by the Qwen team at Alibaba Cloud. It offers advanced capabilities in reasoning, multilingual support, and long-context understanding, available in various sizes and modes for diverse applications. This repository provides comprehensive resources for running, deploying, and building with Qwen3 models.
AI-Scientist-v2: Automated Scientific Discovery via Agentic Tree Search
AI-Scientist-v2 is an advanced agentic system designed for automated scientific discovery, capable of generating hypotheses, running experiments, analyzing data, and writing scientific manuscripts. This system has successfully produced the first workshop paper written entirely by AI and accepted through peer review, marking a significant step towards fully autonomous research.
WeClone: Create Your AI Digital Twin from Chat History with LLMs
WeClone is an innovative open-source project that provides a comprehensive solution for creating your personal AI digital twin. It allows users to fine-tune Large Language Models (LLMs) using their chat history, capturing unique communication styles. The resulting AI can then be integrated with various chatbots, bringing your digital self to life.
oobabooga/text-generation-webui: The Premier Local LLM Interface
oobabooga/text-generation-webui is a powerful and versatile web UI for running large language models (LLMs) locally. It offers a 100% offline and private environment for text generation, vision, tool-calling, and even training, all accessible through an intuitive interface and API.
rag-from-scratch: Building Retrieval Augmented Generation Systems
This repository by LangChain AI offers a comprehensive guide to understanding and implementing Retrieval Augmented Generation (RAG) from scratch. It includes a series of Jupyter notebooks and an accompanying video playlist, making complex RAG concepts accessible for practical application. The resource highlights RAG's advantages over fine-tuning for factual recall in Large Language Models (LLMs).
AgentStack: The Fastest Way to Build Robust AI Agents
AgentStack is a powerful command-line tool designed to simplify the development of AI agents. It provides a scaffold for agent projects, offering CLI utilities for code generation and managing various LLMs, frameworks, and tools. This project aims to make building robust AI agents accessible and efficient for developers.
Chatterbox: State-of-the-Art Open-Source Text-to-Speech by Resemble AI
Chatterbox is a powerful family of open-source text-to-speech (TTS) models developed by Resemble AI, designed for high-quality speech generation. It features Chatterbox-Turbo, an efficient model with paralinguistic tags for added realism, alongside multilingual and general-purpose TTS options. These models provide robust solutions for voice agents, narration, and creative workflows, incorporating responsible AI features like built-in watermarking.