deep-learning

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). Technique was originally created by https://twitter.com/advadnoun

NeuralProphet: A simple forecasting package

LPIPS metric. pip install lpips

Scalable and user friendly neural :brain: forecasting algorithms.

LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance.

Pytorch 中文文档

Foundational model for human-like, expressive TTS

ChatGPT资料汇总学习，持续更新......

Visual localization made easy with hloc

Deep Learning GPU Training System

⚡️SwanLab - an open-source, modern-design AI training tracking and visualization tool. Supports Cloud / Self-hosted use. Integrated with PyTorch / Transformers / verl / LLaMA Factory / ms-swift / Ultralytics / MMEngine / Keras etc.

Become skilled in Artificial Intelligence, Machine Learning, Generative AI, Deep Learning, Data Science, Natural Language Processing, Reinforcement Learning and more with this complete 0 to 100 repository.

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

The Hugging Face course on Transformers

An open-source framework for training large multimodal models.

A Python package for segmenting geospatial data with the Segment Anything Model (SAM)

Single Shot MultiBox Detector in TensorFlow

📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.

Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters