AI Agent Skills

Supercharge Your Model Training

An Asynchronous Reinforcement Learning Engine for Omni-Modal Post-Training at Scale

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and traini…

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…

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

⚡️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 training and deploying machine learning models on Amazon SageMaker

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

Synthetic data curation for post-training and structured data extraction

Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

.NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.

🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo

🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

Guides technology selection and implementation of AI and ML features in .NET 8+ applications using ML.NET, Microsoft.Extensions.AI (MEAI), Microsoft Agent Framework (MAF…

Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization.

Late Interaction Models Training & Retrieval