AI open source rankings.
This repository contains some python code of some traditional change detection methods or provides their original websites, such as SFA, MAD, and some deep learning-based change detection methods, such as SiamCRNN, DSFA, and some FCN-based methods.
Курс "Глубокое обучение (Deep Learning)" (ВМК, МГУ имени М.В. Ломоносова)
RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models
Faceswap with Pytorch or DeepFake with Pytorch
YoloV3/tiny-YoloV3+RaspberryPi3/Ubuntu LaptopPC+NCS/NCS2+USB Camera+Python+OpenVINO
High performance Cross-platform Inference-engine, you could run Anakin on x86-cpu,arm, nv-gpu, amd-gpu,bitmain and cambricon devices.
A New Optimization Technique for Deep Neural Networks
A Euclidean diffusion model for structure-based drug design.
GraphRAG-rs is a high-performance, state-of-the-art Rust implementation of GraphRAG (Graph-based Retrieval Augmented Generation) that builds knowledge graphs from documents and enables natural language querying with configurable entity extraction and local LLM integration
Arnold - DOOM Agent
Implementing Recurrent Neural Network from Scratch
[CVPR2020] GhostNet: More Features from Cheap Operations
A model predictive controller for quadruped robots based on the single rigid body model and written in python. Gradient-based (acados) or Sampling-based (jax)
Code for the paper "Offline Reinforcement Learning as One Big Sequence Modeling Problem"
apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly. See the documentation page: https://apricot-select.readthedocs.io/en/latest/index.html
Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs
Instruction-based prompts for generating and classifying text.
Machine learning movie recommending system
小红书 CLI — 搜索、分析、自动化 Xiaohongshu content. Built for AI agents.
Named Entity Recognition using multilayered bidirectional LSTM
Deep-learning by using Pytorch. Basic nns like Logistic, CNN, RNN, LSTM and some examples are implemented by complex model.
Nix-powered agentic reverse engineering environment
🔌 A curated list of OSINT MCP servers. Pull requests are welcomed!
Machine Learning algorithms implemented from scratch
U-Net Brain Tumor Segmentation
Dataset and code of GTSinger(NeurIPS 2024 Spotlight): A Global Multi-Technique Singing Corpus with Realistic Music Scores for All Singing Tasks
[NeurIPS 2025 Spotlight] A Unified Tokenizer for Visual Generation and Understanding
[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"