Low-code framework for building custom LLMs, neural networks, and other AI models
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47,133 repositories indexed
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PyTorch implementation of the U-Net for image semantic segmentation with high quality images
- pytorch
- unet
- pytorch-unet
- semantic-segmentation
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
- weak-supervision
- data-cleaning
- data-quality
- noisy-labels
Translated🔥 🎉newbee-mall is an e-commerce system that includes a basic version (Spring Boot+Thymeleaf), a version with separated front end and back end (Spring Boot+Vue 3+Element-Plus+Vue-Router 4+Pinia+Vant 4), a flash sale version, a Go language version, and a microservices version (Spring Cloud Alibaba+Nacos+Sentinel+Seata+Spring Cloud Gateway+OpenFeign+ELK). The front-end mall system includes modules such as the home page portal, product categories, new arrivals, home page carousel, product recommendations, product search, product display, shopping cart, order checkout, order process, personal order management, member center, and help center. The back-end management system includes modules such as the data dashboard, carousel image management, product management, order management, member management, category management, and settings.
- spring-boot
- springboot
- mybatis
- mall
TranslatedHand-written implementations of all the algorithms in Li Hang's book "Statistical Learning Methods" (《统计学习方法》)
- machine-learning-algorithms
- code
- statistical-learning-method
Algorithm and data structure articles for https://cp-algorithms.com (based on http://e-maxx.ru)
- algorithms
- translation
- algorithm-competitions
- algorithms-and-data-structures
A paper list of object detection using deep learning.
- deep-learning
- deep-neural-networks
- deeplearning
- objectdetection
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
- machine-learning
- experiment-track
- deep-learning
- keras
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
- artificial-intelligence
- deep-learning
- text-to-image
TranslatedA project to localize the MIT open video course "Structure and Interpretation of Computer Programs" into Chinese, and a collection of course study materials.
- sicp
- scheme
- functional-programming
- compiler-principles
Refine high-quality datasets and visual AI models
A list of learning materials to understand databases internals
Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.
Learning English through the method of constructing sentences with conjunctions
A curated list of deep learning resources for computer vision
Minimal and clean examples of machine learning algorithms implementations
- machine-learning
- deep-learning
- neural-networks
- machine-learning-algorithms
Style transfer, deep learning, feature transform
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
The official source for MDN Web Docs content. Home to over 14,000 pages of documentation about HTML, CSS, JS, HTTP, Web APIs, and more.
This repository contains a curated collection of 300+ case studies from over 80 companies, detailing practical applications and insights into machine learning (ML) system design. The contents are organized to help you easily find relevant case studies based on industry or specific ML use cases.
OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
- inference
- deep-learning
- openvino
- ai
An elegant PyTorch deep reinforcement learning library.
- pytorch
- policy-gradient
- dqn
- double-dqn
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
- kedro
- hacktoberfest
- mlops
- python
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course