Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
- artificial-intelligence
- deep-learning
- text-to-image
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Refine high-quality datasets and visual AI models
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
A list of learning materials to understand databases internals
- awesome-list
- database
- course
- papers
Learning English through the method of constructing sentences with conjunctions
Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.
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
My Python scripts to make high-quality figures for publications in top AI conferences and journals.
- figures
- python
- icml
- nature-machine-intelligence
OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
- inference
- deep-learning
- openvino
- ai
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.
FFmpeg libav tutorial - learn how media works from basic to transmuxing, transcoding and more. Translations: 🇺🇸 🇨🇳 🇰🇷 🇪🇸 🇻🇳 🇧🇷 🇷🇺
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
An elegant PyTorch deep reinforcement learning library.
- pytorch
- policy-gradient
- dqn
- double-dqn
Building the self-learning layer next-gen agents will ship with, learning skills from real work.
- agent-skills
- claude-code
- claude-code-plugin
- llm-agents
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
- numpy
- python
- linear-algebra
- data-science
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
- sagemaker
- aws
- reinforcement-learning
- machine-learning
TensorFlow CNN for fast style transfer ⚡🖥🎨🖼
- style-transfer
- neural-style
- neural-networks
- deep-learning
X-AnyLabeling: A lightweight, efficient, and unified cross-platform desktop application for annotating text, image, video, point cloud and multimodal data, combining versatile built-in tools with state-of-the-art AI models and flexible multi-format export.
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Content aware image resize library
- seam-carving
- image-processing
- image-resize
- edge-detection