🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
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DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Machine Learning Engineering Open Book
Low-code framework for building custom LLMs, neural networks, and other AI models
The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.
Build, Manage and Deploy AI/ML Systems
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
A system for quickly generating training data with weak supervision
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
OpenMMLab Foundational Library for Training Deep Learning Models
allRank is a framework for training learning-to-rank neural models based on PyTorch.
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
Docker image gathering packers and tools for making datasets of packed executables and training machine learning models for packing detection