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github.com

AnythingLLM is an all-in-one AI application for chatting with documents, using AI agents, and connecting local or cloud LLMs. It includes a built-in local LLM engine, vector databases, document pipelines, multi-user support, and a no-code agent builder. It is distributed under an MIT license.

Models & Machine Learning 0
github.com

autoai is an open-source Python framework for automatic artificial intelligence focused on regression and classification tasks over numerical data. It automates model search, hyper-parameter tuning, and generates high-quality Jupyter Notebook code for resulting models.

Models & Machine Learning 0
github.com

Drop-in AsyncOpenAI replacement that transparently batches requests via the Batch API for cheaper LLM inference.

Models & Machine Learning 0
github.com

AutoPR was a GitHub Action that autonomously generated pull requests in response to issues, triggered by adding a label containing AutoPR. It planned a fix, wrote code, pushed a branch and opened a pull request. The alpha-release action had limitations including incorrect references to code in other files, duplicated lines and calls to functions that don't exist, and worked only on GitHub. The repository was archived by the owner on Mar 5, 2026 and is now read-only.

Models & Machine Learning 0
github.com

AutoViz is a Python library that automatically visualizes any dataset, any size, with a single line of code. It also offers the FixDQ() function for a quick assessment of dataset quality and fixing data quality issues. The project aims to provide an automated approach to exploratory data analysis through quick and easy data visualization plus data quality, abstracting away the complexities of various plotting libraries and techniques.

Models & Machine Learning 0

Awesome Core ML Models is a GitHub repository that hosts the largest collection of Core ML models for iOS 11 and newer versions. It allows users to contribute new models to the list via GitHub.

Models & Machine Learning 0

Awesome Decision Tree Papers is a GitHub-hosted open repository that collects research papers on decision trees, classification trees, and regression trees. The repository includes associated code implementations for the papers, and organizes content by publication year, with entries covering 2020, 2021, and 2022. It serves as a resource for machine learning researchers and practitioners.

AI Search & Research 0

Awesome Free ChatGPT is a code project with source, releases, documentation, or setup notes.

Models & Machine Learning 0

Curated list of top Hugging Face models for NLP, vision, and audio tasks with demos and benchmarks.

Models & Machine Learning 0

Awesome LLM Resources is a GitHub-hosted curated list of resources for applied AI engineering. The collection is marked as a work in progress and aggregates relevant materials for applied AI engineering work.

Models & Machine Learning 0
github.com

Awesome-Code-LLM is a curated list of code large language models for research, covering top code LLMs, evaluation toolkits, leaderboards and related papers. It also lists evaluation frameworks for autoregressive code generation models and a secure sandbox for judging generated code.

Models & Machine Learning 0
github.com

BabyCommandAGI is a Python script system based on BabyAGI that is designed to test combining CLI and LLM interfaces, with the thinking part of BabyAGI greatly simplified to execute commands efficiently. The README warns that it may unintentionally destroy the environment, recommends running it in a virtual environment such as Docker, and recommends Claude 3.7 Sonnet or higher.

Models & Machine Learning 0
github.com

BambooAI is an LLM-driven data analyst tool that operates in a persistent Python kernel. It is available as a web app with Docker-isolated execution, supports user-provided model keys, and is compatible with open weights models via provider or local deployment.

Models & Machine Learning 0
github.com

BayesO is a Python framework for Bayesian optimization, described as a simple but essential Bayesian optimization package. It is installed via pip and is tested on Python 3.8 through 3.12. The repository includes documentation, examples and tests, and is released under the MIT License.

Models & Machine Learning 0
github.com

BELLE, short for Be Everyone's Large Language model Engine, is an open-source Chinese conversational large language model hosted on GitHub by LianjiaTech. The project provides relevant training code and open datasets for the model.

Models & Machine Learning 0
github.com

GPT Migrate team is working on adding for the agent.

Models & Machine Learning 0
github.com

Fast Neural Networks framework built on top of Metal. Supports TensorFlow models.

Models & Machine Learning 0
github.com

Birdland is a collaborative filtering recommendation library written in Go. It performs a random walk on a biased user-items bipartite graph to generate user-item pairs, which the recommender processes into recommended items. The project includes sampler and explorer components such as Bird, Emu and Weaver.

Models & Machine Learning 0
github.com

bitnet.cpp is the official inference framework for 1-bit LLMs such as BitNet b1.58. It provides optimized kernels for inference of 1.58-bit models on CPU and GPU, with NPU support stated as coming next. The repository includes documentation and setup scripts, and the project is released under the MIT license.

Models & Machine Learning 0
github.com

Accessible large language models via k-bit quantization for PyTorch.

Models & Machine Learning 0
github.com

Blinky is an open-source AI debugging agent for VSCode that uses LLMs to help identify and fix backend code errors. It uses the VSCode API, Language Server Protocol and print statement debugging. Users describe a bug and repro steps in a chat interface, then accept or reject the agent's changes.

Models & Machine Learning 0
github.com

BigScience Large Open-science Open-access Multilingual Language Model.

Models & Machine Learning 0
github.com

Bloop is a fast code search engine written in Rust, distributed through GitHub releases. The repository was archived by its owner on Jan 2, 2025, and is now read-only. Release notes for versions v0.6.0 to v0.6.5 list changes such as explaining files in a user-set language, adding multiple files to code studio, code coloring for COBOL, and alternative input types for Chinese users.

Models & Machine Learning 0