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Uniform deep learning inference framework for mobile, desktop and server.
Works with speech, voice, music or other audio using machine-learning models.
A flexible and easy to use tool for serving PyTorch models.
Automated ML tool that optimizes machine learning pipelines using genetic programming.
A web app to generate template code for machine learning.
Text Retrieval and Annotation Toolkit, definitely the most comprehensive toolkit I’ve encountered so far for Ruby.
Creates or edits images with generative models and visual controls.
Python library for automatic extraction of relevant features from time series.
A Java implementation of Twitter's text processing library.
Any URL to clean markdown for LLMs. Free API, no signup required. Strips JS/CSS and outputs LLM-ready content.
Creates or edits images with generative models and visual controls.
Minimize LLM token complexity to save API costs and model computations.
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.
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.
An implementation of Dell Zhang's solution to Wikipedia's Participation Challenge on Kaggle.
Tokenizers for Natural Language Processing in Julia.
Word Embeddings: the full implementation of word2vec, GloVe in Go.
A Julia package for Princeton's WordNet.