computer vision projects | 计算机视觉相关好玩的AI项目（Python、C++、embedded system）
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Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
- deep-learning
- meta-learning
- one-shot-learning
- learning-to-learn
🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .
- search-engine
- rust
- approximate-nearest-neighbor-search
- artificial-intelligence
📖 Source Code Website/Ebook Dasar Pemrograman Golang
记录cv算法工程师的成长之路，分享计算机视觉和模型压缩部署技术栈笔记。https://harleyszhang.github.io/cv_note/
- deep-learning
- interview-questions
- computer-vision
- machine-learning-algorithms
Algorithms for explaining machine learning models
- machine-learning
- explanations
- interpretability
- counterfactual
✨ Build a machine learning model from a prompt
The easy way to learn Scala.
- scala
- learning
- cats
- shapeless
This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube
Image Deblurring using Generative Adversarial Networks
- deep-learning
- gan
- deblurring
- image-processing
🌎 Hack Club is a worldwide community of high school hackers. We make things. We help one another. We have fun.
- learn-to-code
- education
- nonprofits
- curriculum
一本学习 Go 语言的免费电子书。
Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
- machine-learning
- prml
- bayesian-statistics
- python
Python library for portfolio optimization, factor model construction, and risk management built on scikit-learn
- asset-allocation
- portfolio
- portfolio-optimization
- quantitative-finance
Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Pre-Ranking, Ranking, Post Ranking, Relevance, LLM and RL. Please cite our paper "Deep Learning to Rank in Industrial Search Engines, Recommender Systems, and Online Advertising - An Overview and New Perspectives" (TOIS 2026).
- deep-learning
- recommender-system
- search
- advertising
Python Client for Supabase. Query Postgres from Flask, Django, FastAPI. Python user authentication, security policies, edge functions, file storage, and realtime data streaming.
LeetCode for PyTorch — 65 ML/AI interview problems from real interviews at Google, Meta, Anthropic. Jupyter notebooks, an auto-grader, and an MCP AI tutor.
- coding-interviews
- deep-learning
- from-scratch
- interview-preparation
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
- data-science
- python
- dag
- data-engineering
A curated list of network embedding techniques.
- network-embedding
- representation-learning
- graph-embeddings
- knowledge-graph
Implementation of AudioLM, a SOTA Language Modeling Approach to Audio Generation out of Google Research, in Pytorch
- artificial-intelligence
- attention-mechanisms
- audio-synthesis
- deep-learning
Pytorch domain library for recommendation systems
Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial
PPO x Family DRL Tutorial Course（决策智能入门级公开课：8节课帮你盘清算法理论，理顺代码逻辑，玩转决策AI应用实践 ）
- course
- decision-intelligence
- python
- reinforcement-learning
EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212
- edgeconnect
- image-inpainting
- generative-adversarial-network
- gans