Popular GitHub Repositories for Train Acceleration

Tensors and Dynamic neural networks in Python with strong GPU acceleration

1 min voice data can also be used to train a good TTS model! (few shot voice cloning)

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

Easily train a good VC model with voice data <= 10 mins!

Code and documentation to train Stanford's Alpaca models, and generate the data.

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

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

NVIDIA? TensorRT? is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.

Example ? Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using ? Amazon SageMaker.

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

A server-client framework to train any AI agent with rollouts and feedbacks

WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript.

? 「大模型」1小时从0训练26M参数的视觉多模态VLM！? Train a 26M-parameter VLM from scratch in just 1 hours!

Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.

Open Source Application for Advanced LLM Engineering: interact, train, fine-tune, and evaluate large language models on your own computer.

Lightweight library to build and train neural networks in Theano

A highly efficient implementation of Gaussian Processes in PyTorch

Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.

创建、动画制作和安排你的AI角色