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Stars
all of the workflows of n8n i could find (also from the site itself)
Curated coding interview preparation materials for busy software engineers
An open-source, code-first toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
Open-source AI hackers to find and fix your app’s vulnerabilities.
Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems.
An open-source, code-first Go toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
Send a phone call from AI agent, in an API call. Or, directly call the bot from the configured phone number!
verl/HybridFlow: A Flexible and Efficient RL Post-Training Framework
[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
Curated list of project-based tutorials
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
The purpose of this project is the classification of recorded sound beats and defining heart defects: extrastole and murmur, using MFCC (Mel-frequency cepstrum) and PCA (Principal Component Analysis).
Heart Murmur Detection from Phonocardiogram Recordings: The George B. Moody PhysioNet Challenge 2022
A Unified Joint Contrastive Triplet Loss with Temporal and Frequency Signal Fusion for Diagnosing Heart Murmurs (ICASSP-2015)
Dual Bayesian ResNet: A Deep Learning Approach to Heart Murmur Detection (Physionet Challenge 2022)
An implementation of "Prototypical Networks for Few-shot Learning" on a notebook in Pytorch
Implementations of few-shot object detection benchmarks
Repository for few-shot learning machine learning projects
TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)
A Large-Scale Few-Shot Relation Extraction Dataset
Loki: Open-source solution designed to automate the process of verifying factuality
We write your reusable computer vision tools. 💜
A curated list of awesome skills, hooks, slash-commands, agent orchestrators, applications, and plugins for Claude Code by Anthropic
Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen3.6, GPT-OSS, Llama, and more!
🕵️♂️ Collect a dossier on a person by username from 3000+ sites
Tools for merging pretrained large language models.
This is the repository for the LatteReview python package. LatteReview is a low-code Python package designed to automate systematic literature review processes through AI-powered agents.