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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Python library for automatic extraction of relevant features from time series.

A self-hosted copilot clone that uses the library behind llama.cpp to run the 6 billion parameter Salesforce Codegen model in 4 GB of RAM.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

A Java implementation of Twitter's text processing library.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Any URL to clean markdown for LLMs. Free API, no signup required. Strips JS/CSS and outputs LLM-ready content.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Creates or edits images with generative models and visual controls.

Source 2 Viewer is an all-in-one tool to browse VPK archives, view, extract, and decompile Source 2 assets, including maps, models, materials, textures, sounds, and more.

"leaderboard Comparing LLM Performance at Producing Hallucinations when Summarizing Short Documents".

AutoML algorithm tool chain by Huawei Noah's Arb Lab.

Research archive containing dark-web authorship verification datasets and baseline models.

Enterprise-Grade Graph RAG for Secure, On-Premise AI with Verifiable Attribution.

Some of the python libraries were cut-and-pasted from.

A comprehensive testing and evaluation framework for voice agents across language models, prompts, and agent personas.

Cloud Native Batch System (Project under CNCF).

Open source framework for debugging LLM agents and RAG pipelines with a 16-mode ProblemMap and practical triage checklists.

From AI tools to TikTok video creation using FFMPEG, Microsoft Edge read aloud and OpenAI Whisper model

Port of OpenAI's Whisper model in C/C++. opensource.

An implementation of Dell Zhang's solution to Wikipedia's Participation Challenge on Kaggle.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Tokenizers for Natural Language Processing in Julia.