Tvm Cn alternatives for AI agents.

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

The fastai deep learning library

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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

Run, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, Slurm, 20+ clouds, on-prem).

Open Machine Learning Compiler Framework

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

A WebGL accelerated JavaScript library for training and deploying ML models.

TensorFlow documentation

Time series forecasting with PyTorch

A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hopper, Ada and Blackwell GPUs, to provide better performance with lower memory utilization in both training and inference.

On-device AI across mobile, embedded and edge for PyTorch

This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc

100-Days-Of-ML-Code中文版

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.