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Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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EPUB to audiobook converter, optimized for Audiobookshelf.
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Pachyderm is a version control system for data.
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Machine Learning Framework from Industrial Practice.
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Resource scheduling and cluster management for AI.
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LLM Comparator is an interactive data visualization tool for evaluating and analyzing LLM responses side-by-side, developed by the PAIR team.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Create HTML profiling reports from pandas DataFrame objects.
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Clojure API wrapping Python's Pandas library.
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Open-source platform to run coding agents as managed workers with tasks, approvals, budgets, and workspaces.
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Transactional alternative to Elasticsearch, built on Postgres.
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Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
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Parris, the automated infrastructure setup tool for machine learning algorithms.
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Simple, realtime visualization of neural network training performance.
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A web mining module for the Python programming language. It has tools for natural language processing, machine learning, among others.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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This package contains the matlab implementation of the algorithms described in the book Pattern Recognition and Machine Learning by C. Bishop.
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A complete object-oriented environment for machine learning in Matlab.
Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
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Reinforcement learning using Markov Decision Processes.
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State-of-the-art Parameter-Efficient Fine-Tuning.
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Swift Language Bindings of TensorFlow. Using native TensorFlow models on both macOS / Linux.
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Enables single machine or distributed training and evaluation of deep learning models.