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Distributed deep learning training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Tensorflow and OpenAI Clarity's Lucid adapted for PyTorch.
A tensor-based framework for large-scale data computation which is often regarded as a parallel and distributed version of NumPy.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A Natural Adversarial Language Processing framework built over Tensorflow.
A Python library for secure and private Deep Learning built on PyTorch and TensorFlow.
Tensors and Dynamic neural networks in Python with strong GPU acceleration.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Hyperparameter Optimization for TensorFlow, Keras and PyTorch.
TensorFlow's Visualization Toolkit.
Open-source machine learning framework by Google.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Suite of tools that users, both novice and advanced, can use to optimize machine learning models for deployment and execution.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Real-time inference for Stable Diffusion - 0.88s latency. Covers AITemplate, nvFuser, TensorRT, FlashAttention. (Archived).
ML models and internal tensors 3D visualizer.