Examples showing how to use the OpenAI vision API to run inference on images, video files and webcam streams.
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github.com
Open-source software for robot simulation, integrated with OpenAI Gym.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Easily compute CLIP embeddings and build a CLIP retrieval system with them.
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An AI-powered autonomous coding agent integrated directly into VS Code. opensource.
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Text processing tools and wrappers (e.g. Vowpal Wabbit).
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Zero-configuration MCP server that unifies multiple AI coding assistants (Claude Code, Cursor, Codex) through intelligent auto-discovery.
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Open-source SDK for running LLMs and multimodal models on-device across iOS, Android, and cross-platform apps.
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Provides containers to encapsulate and deploy EdgeML pipelines and applications.
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Fast MATLAB-syntax runtime with automatic CPU/GPU execution and fused array kernels.
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Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...).
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A tool to help you configure, organize, log and reproduce experiments.
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For calculating global feature importance using Shapley values.
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Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.
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A CLI utility to train and deploy ML/DL models on AWS SageMaker.
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Basic sampling algorithms for Julia.
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Topic Modelling the Sarah Palin emails.
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Generate images from texts. In Russian.
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Analyzes structured data and helps produce queries, insights or visualizations.
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High-performance, high-precision CPU, GPU, and memory profiler for Python.
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Simple and efficient library to minimize expensive and noisy black-box functions.
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A collection of algorithms for image processing in Python.
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Series of notebooks for learning scikit-learn.
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Open-source project that creates or edits images with generative AI and text-based controls.