Popular GitHub Repositories for Electricity Transformer Dataset

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

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

A high-throughput and memory-efficient inference and serving engine for LLMs

??? 60+ Implementations/tutorials of deep learning papers with side-by-side notes ?; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ? reinforcement learning (ppo, dqn), capsnet, distillation, ... ?

Port of OpenAI's Whisper model in C/C++

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

Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

OpenMMLab Detection Toolbox and Benchmark

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

SOTA Open Source TTS

? A ranked list of awesome machine learning Python libraries. Updated weekly.

CVPR 2025 论文和开源项目合集

SGLang is a fast serving framework for large language models and vision language models.

[CVPR2023] Blur Interpolation Transformer for Real-World Motion from Blur

[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer

pix2tex: Using a ViT to convert images of equations into LaTeX code.

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

Natural Language Processing Tutorial for Deep Learning Researchers

Ongoing research training transformer models at scale