[NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models

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

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

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

The Triton backend for the PyTorch TorchScript models.

The core library and APIs implementing the Triton Inference Server.

Kubernetes-based, scale-to-zero, request-driven compute

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Common source, scripts and utilities shared across all Triton repositories.

Common source, scripts and utilities for creating Triton backends.

The Triton backend for TensorFlow 1 and TensorFlow 2.

Serverless Inferencing on Kubernetes

An implementation of a deep learning recommendation model (DLRM)

TorchOpt is a high-performance optimizer library built upon PyTorch for easy implementation of functional optimization and gradient-based meta-learning.

《机器学习系统：设计与实现》

PyTorch Library for Fast and Easy Distributed Graph Learning

A distributed logistic regression system based on ps-lite.

中山大学 $\LaTeX$ 论文项目模板