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Open, Multi-modal Catalog for Data & AI
Code examples and resources for DBRX, a large language model developed by Databricks
TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficie…
Python client library for improving your LLM app accuracy
LLM training code for Databricks foundation models
A library that contains a rich collection of performant PyTorch model metrics, a simple interface to create new metrics, a toolkit to facilitate metric computation in distributed training and tools…
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
Voice of customer platform for product teams
TorchBench is a collection of open source benchmarks used to evaluate PyTorch performance.
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
A library for easy and efficient manipulation of tensor networks.
A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks
Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
Reference implementations of MLPerf™ inference benchmarks
Graph Neural Network Library for PyTorch
Intel® AI Reference Models: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors and Intel® Data Center GPUs
Attempt at tracking states of the arts and recent results (bibliography) on speech recognition.
Intel® Nervana™ reference deep learning framework committed to best performance on all hardware
Original Python version of Intel® Nervana™ Graph