Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
updated at May 19, 2024, 3:50 a.m.
A Hyperparameter Tuning Library for Keras
updated at May 19, 2024, 3:08 a.m.
DEPRECATED: Open-source software for robot simulation, integrated with OpenAI Gym.
updated at May 19, 2024, 3:02 a.m.
Code samples for my book "Neural Networks and Deep Learning"
updated at May 19, 2024, 2:27 a.m.
Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
updated at May 19, 2024, 1:11 a.m.
Graph Neural Network Library for PyTorch
updated at May 19, 2024, 12:51 a.m.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
updated at May 19, 2024, 12:49 a.m.
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
updated at May 19, 2024, 12:36 a.m.
Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
updated at May 19, 2024, 12:34 a.m.