deep-learning
Deep learning is an AI function and subset of machine learning, used for processing large amounts of complex data.
Repositories (1429)
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Simplify your onnx model
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
A library for scientific machine learning and physics-informed learning
A JavaScript deep learning and reinforcement learning library.
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
Serve, optimize and scale PyTorch models in production
Data Science Roadmap from A to Z
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Ne...
Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). Technique was originally...
NeuralProphet: A simple forecasting package
LPIPS metric. pip install lpips
Fast, distributed, secure AI for Big Data
Scalable and user friendly neural :brain: forecasting algorithms.
Pytorch 中文文档
LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-...
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
Become skilled in Artificial Intelligence, Machine Learning, Generative AI, Deep Learning, Data Science, Natural Language Processing, Reinforcement Le...
⚡️SwanLab - an open-source, modern-design AI training tracking and visualization tool. Supports Cloud / Self-hosted use. Integrated with PyTorch / Tr...
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
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of paramet...
📈 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 a...
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
Learning to Learn in TensorFlow
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud s...
Model summary in PyTorch similar to `model.summary()` in Keras
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation need...
A modern Anki custom scheduling based on Free Spaced Repetition Scheduler algorithm
3D ResNets for Action Recognition (CVPR 2018)
oneAPI Deep Neural Network Library (oneDNN)
人像卡通化探索项目 (photo-to-cartoon translation project)
Interactive Image Generation via Generative Adversarial Networks
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Ma...
Differentiable architecture search for convolutional and recurrent networks
Vector (and Scalar) Quantization, in Pytorch
TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for tim...
Quant/Algorithm trading resources with an emphasis on Machine Learning
Visual Tracking Paper List
Text recognition (optical character recognition) with deep learning methods, ICCV 2019
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
A minimal Python framework for building custom AI inference servers with full control over logic, batching, and scaling.
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
TVM Documentation in Chinese Simplified / TVM 中文文档