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.
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Awesome Free ChatGPT is a code project with source, releases, documentation, or setup notes.
Curated list of top Hugging Face models for NLP, vision, and audio tasks with demos and benchmarks.
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.
Awesome Machine Learning with Ruby is a GitHub-hosted curated list of resources for machine learning development using the Ruby programming language. It includes tutorials and machine learning libraries for Ruby users.
Curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning.
List of awesome compiler projects and papers for tensor computation and deep learning.
Awesome Turkish Language Models is a Hugging Face Space that hosts a curated list of Turkish AI models, datasets, and papers. It also functions as an application that fetches Markdown content from user-provided URLs and converts it to formatted HTML for reading.
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.
Documentation for Baidu Qianfan, covering setup, features, and practical usage.
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.
Bardeen is a platform for sourcing leads with an agentic web scraper, researching leads with AI search, enriching them with validated contact info, and qualifying them with AI. It supports exporting data to CSV, Google Sheets, Airtable and Notion, and lists use cases for solopreneurs, real estate and music.
Deploy and serve machine learnings models performantly, scalably, and cost-efficiently with Baseten.
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.
Beam is a platform for agentic automation and AI agents aimed at enterprise operations. It offers an agent hub for managing agents, pre-trained agents, templates and integrations with existing tools, and agents adapt to an organization's standard operating procedures. The platform also lists industry solutions such as a financial services AI suite.
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.
A Towards Data Science article by Hui Wen Goh evaluating popular hallucination detectors, including G-eval, Ragas and the Trustworthy Language Model, across four public RAG datasets. Using AUROC and precision/recall, it reports how well the methods automatically flag incorrect LLM responses in retrieval-augmented generation systems.
GPT Migrate team is working on adding for the agent.
Fast Neural Networks framework built on top of Metal. Supports TensorFlow models.
Browser-based visual editor for designing neural networks and automatically generating PyTorch and TensorFlow code.
CPU and GPU-accelerated Machine Learning Library.
BigML is a machine learning platform for classification, regression, time series forecasting, cluster analysis, anomaly detection, association discovery, topic modeling and principal component analysis. Models can be used for predictions through remote services or exported and embedded into applications. A three-day free trial gives access to all functionality.
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.
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.