- Cambridge
- https://jafermarq.com
Highlights
- Pro
Stars
Any model. Any hardware. Zero compromise. Built with @ziglang / @openxla / MLIR / @bazelbuild
Hundreds of models & providers. One command to find what runs on your hardware.
A dev agent multiplexer for git worktrees and coding agents.
⚙️🗑️ A GitHub Action to free disk space on an Ubuntu runner.
Privacy-aware Retrieval-Augmented Generation over federated medical textbooks. FAISS + Flower + optional reranker + OpenAI LLM.
⏰ 🔥 A TCP proxy to simulate network and system conditions for chaos and resiliency testing
Federated Fine-Tuning of LLMs on Apple Silicon with Flower.ai and MLX-LM
Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.
[IEEE TII 2025] Official Implementation for "Dual-Detector Reoptimization for Federated Weakly Supervised Video Anomaly Detection via Adaptive Dynamic Recursive Mapping"
FedFitTech: A Baseline in Federated Learning for Fitness Tracking
Flower tutorial repository for PyCon DE & PyData 2025 talk "The Future of AI is Federated"
Blueprint for federated finetuning, enabling multiple data owners to collaboratively fine-tune models without sharing raw data. Developed in collaboration with Flower.
Pymunk is a easy-to-use pythonic 2d physics library that can be used whenever you need 2d rigid body physics from Python
🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning
Serverless federated learning using flwr
Source code for the ICML 2022 paper: "Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering"
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding