Open Source Packages
Libraries, frameworks, tools, and SDKs used by the apps in this directory — scored the same way as the apps themselves.
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Datasets
One-line loading and fast, Arrow-backed processing for thousands of ML datasets
ONNX Runtime
Cross-platform, high-performance ML inference and training accelerator for ONNX models
got
Human-friendly and powerful HTTP request library for Node.js, with retries, streams, pagination, and RFC 7234 caching built in.
Echo
A minimalist, high-performance Go web framework with a radix-tree router, built-in middleware chain, and first-class HTTP/2 support.
onnxruntime-node
Microsoft's official Node.js binding for running ONNX model inference in production JavaScript apps
einops
A readable, framework-independent notation for tensor rearrangement, reduction, and repetition.
websocket
Minimal, idiomatic Go WebSocket library with full context.Context support, zero dependencies, and Wasm compatibility.
wandb
Official Python SDK and CLI for the Weights & Biases ML experiment tracking platform
TensorFlow Datasets
Ready-to-use, versioned public datasets exposed as tf.data.Dataset objects, with first-class support for TensorFlow, JAX, and NumPy pipelines.
safetensors
A safe, zero-copy binary format for storing and loading ML tensors without pickle
TensorFlow Hub
A Python library for downloading and reusing pretrained TensorFlow SavedModels for transfer learning with a minimum amount of code.
human
A TensorFlow.js library for real-time face, body, and hand detection, iris tracking, and age, gender, and emotion prediction in the browser or Node.js.
Thinc
A lightweight, type-checked functional deep learning library that wraps PyTorch, TensorFlow, and MXNet