Showing 41-60 of 437 projects
A curated collection of the latest machine learning and AI courses on YouTube for developers.
An open-source tool for recording screens and microphones, designed for developers building with AI tools.
A library of deep learning models and datasets to make deep learning more accessible and accelerate ML research.
A collection of figures and templates for improving scientific writing with machine learning.
A comprehensive machine learning library in Python with implementations of various algorithms and models.
Kubeflow is a machine learning toolkit for building and deploying scalable ML pipelines on Kubernetes.
dvc is a data versioning and ML experiments tool that helps developers manage and track data and model changes.
A collection of pre-trained machine learning models for TensorFlow.js, a library for running ML in the browser and on Node.js.
Distributed training framework for deep learning models using popular ML libraries like TensorFlow, Keras, PyTorch, and MXNet.
A fast, lightweight deep learning framework used in Alibaba's business-critical use cases, supporting LLM and 3D avatar apps.
Unstructured is an open-source ETL solution for transforming complex documents into structured data for language models.
A curated list of references for MLOps, the practice of managing and automating machine learning workflows.
This is a free 4-month course to learn machine learning engineering, covering deployment, Docker, FastAPI, and more.
Advanced AI Explainability library for computer vision models built with PyTorch.
PredictionIO is a machine learning server for developers and ML engineers, enabling building and deploying production-ready ML services.
PyTorch code and models for the DINOv2 self-supervised learning method, a useful tool for AI and ML developers.
A weekly curated list of top machine learning research papers, useful for vibe coders.
Low-code framework for building custom LLMs, neural networks, and other AI models
A collaboration-friendly studio for building NeRF-based 3D reconstructions using PyTorch and other ML tools.
Open-source stack for industrial-grade LLM applications, including LLM gateway, observability, optimization, evaluation, and experimentation.
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