AI open source rankings.
Create flutter project with all needed configuration and AI-Agent awareness in two minutes (AI-Skills, theme, localization, connect to firebase, FCM, local notifications, safe API call, error handling, animation..etc)
On-device meeting capture, dictation, and vault-native knowledge layer for macOS. Nothing leaves your Mac.
[ICLR 2024] DNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genome
Web/desktop UI for Gemini CLI/Qwen Code. Manage projects, switch between tools, search across past conversations, and manage MCP servers, all from one multilingual interface, locally or remotely.
Urban sound classification using Deep Learning
A dead-simple API to build LLM-powered apps
JoyHallo: Digital human model for Mandarin
🔍 Search Engine for a Procedural Simulation of the Web with GPT-3.
DanceNet -💃💃Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)
A collection of useful datasets for robotics and computer vision
Data-Driven Evaluation for LLM-Powered Applications
[TPAMI 2024 & CVPR 2023] PyTorch code for DGM4: Detecting and Grounding Multi-Modal Media Manipulation and beyond
You can using StoryDiffusion in ComfyUI
Multi-workspace terminal aggregator with Claude Code AI integration
Automatically generate headlines to short articles
semi supervised guided topic model with custom guidedLDA
Survey on LLM Agents (Published on CoLing 2025)
Local Video-LLM powered AI Baby Monitor
The official repo of GraphRAG-Bench for evaluating GraphRAG models. "When to use Graphs in RAG: A Comprehensive Analysis for Graph Retrieval-Augmented Generation". (ICLR'26)
Your 24/7 personal assistant powered by Claude Code and OpenAI Codex. Multi-channel messaging, long-term memory, skills, task scheduling, session management, and more — all running locally.
Aqueduct is no longer being maintained. Aqueduct allows you to run LLM and ML workloads on any cloud infrastructure.
Retrieve, Read and LinK: Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget (ACL 2024)
The official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (SOTA) deep-learning neural network model for efficient time-series imputation (impute multivariate incomplete time series containing NaN missing data/values with machine learning). https://arxiv.org/abs/2202.08516
Architect-centric agentic swarm plugin for OpenCode. Hub-and-spoke orchestration with SME consultation, code generation, and QA review.
Mac compatible Ollama Voice
Appium MCP on Steroids!
This repository contains documentation created to better understand the open project
这是一个segformer-pytorch的源码，可以用于训练自己的模型。