A pytorch quantization backend for optimum

Train transformer language models with reinforcement learning.

🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

Efficient Triton Kernels for LLM Training

Accessible large language models via k-bit quantization for PyTorch.

🤗 Optimum Intel: Accelerate inference with Intel optimization tools

🔍 Haystack is an open source NLP framework to interact with your data using Transformer models and LLMs (GPT-4, ChatGPT and alike). Haystack offers production-ready tools to quickly build complex q…

A repository of Dockerfiles, scripts, yaml files, Helm Charts, etc. used to build and scale the sample AI workflows with python, kubernetes, kubeflow, cnvrg.io, and other frameworks on Intel platfo…

Deep Learning Paper Reading Club