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36A high-throughput and memory-efficient inference and serving engine for LLMs
Quick illustration of how one can easily read books together with LLMs. It's great and I highly recommend it.
No description provided.
Inference Llama 2 in one file of pure C
LLM training in simple, raw C/CUDA
The best ChatGPT that $100 can buy.
No description provided.
vLLM TPU Benchmark infra
A simple, performant and scalable Jax LLM!
No description provided.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Project for testing mantaray
Public facing notes page
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
A simplified and automated orchestration workflow to perform ML end-to-end (E2E) model tests and benchmarking on Cloud VMs across different frameworks.
No description provided.
🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision
Hackable implementation of state-of-the-art open-source LLMs based on nanoGPT. Supports flash attention, 4-bit and 8-bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.
TorchBench is a collection of open source benchmarks used to evaluate PyTorch performance.
Sample applications for Google Kubernetes Engine (GKE)
No description provided.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Datasets, Transforms and Models specific to Computer Vision
This repository contains example code to build models on TPUs
Testing framework for Deep Learning models (Tensorflow and PyTorch) on Google Cloud hardware accelerators (TPU and GPU)
fork from Nick's maskrcnn repo (https://docs.google.com/document/d/1pd3XOvCeMugiZ6y3adLZo3pAgqiWHitkASuUawEbECY/edit#)
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy. Avoid writing scripts or custom code to deploy and update your applications — automate in a language that approaches plain English, using SSH, with no agents to install on remote systems. https://docs.ansible.com/ansible/
Ansible on Azure Lab playbooks and documentation
Open source documentation of Microsoft Azure