AI Agent Skills

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agen…

A WebGL accelerated JavaScript library for training and deploying ML models.

Stop and check this skill before finishing any reply to a question about how to use Claude or a Claude product — it recommends matching courses, tutorials, and use cases…

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.

CLI tool and library for generating a Software Bill of Materials from container images and filesystems

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

FlowGram is an extensible workflow development framework with built-in canvas, form, variable, and materials that helps developers build AI workflow platforms faster and…

A system for quickly generating training data with weak supervision

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference appl…

Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

⚡️SwanLab - an open-source, modern-design AI training tracking and visualization tool. Supports Cloud / Self-hosted use. Integrated with PyTorch / Transformers / verl /…

A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hopper, Ada and Blackwell GPUs, t…