YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
- Updated
Nov 16, 2025 - Python
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
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Open standard for machine learning interoperability
Low-code framework for building custom LLMs, neural networks, and other AI models
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Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
Largest list of models for Core ML (for iOS 11+)
Open-source observability for your GenAI or LLM application, based on OpenTelemetry
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Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
Superduper: End-to-end framework for building custom AI applications and agents.
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😎 A curated list of awesome MLOps tools
Easily build AI systems with Evals, RAG, Agents, fine-tuning, synthetic data, and more.
Snips Python library to extract meaning from text
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
modular quant framework.
A library for transfer learning by reusing parts of TensorFlow models.
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