Automated Liquidity Management & Decision Support for MFS Agents (AI DEV FEST 2026, Track 05)

Full-stack sales forecasting and analytics platform. A FastAPI backend trains and serves a forecasting model and exposes a documented REST API; a Next.js and TypeScript dashboard presents analytics, forecasts and model evaluation. Ships with a generated sample dataset, Docker support and a pytest suite.

A transformer that is a working computer. It runs CHIP-8 games like Tetris and Pong by predicting every write to its own memory, one token at a time.

A desktop SSH console for Google Colab runtimes: a real terminal, the runtime's files over SFTP, and the compute units it is spending. Unofficial client.

从公式到源码，系统学习大模型与 Agent：45主题、135知识点，覆盖训练、推理、RAG、Harness、GUI、AI Coding 与 Benchmark。中文推导 + Python示例 + 架构图 + 固定版本源码。

A pure-NumPy, functional-style neural network built entirely from scratch to classify handwritten digits. No PyTorch or TensorFlow used.

Ryan Vo | Work in progress: incident-timeline-studio-ryan-vo

Home Assistant PV forecast that learns from your own history – no tilt, azimuth or kWp needed. Per plant and total, 30 min to 72 h, Energy dashboard and evcc.

Build any paper, prove every claim. IRP turns a research paper into working code and a verifiable, claim-by-claim reproduction report, driven by your AI coding agent over MCP or the CLI.

Cryptocurrency Work Summary in CS Top Conferences (NeurIPS, ICML, ICLR, KDD, WWW, AAAI, IJCAI, CIKM, ICDM, ICDE, SIGIR, WSDM, ACL, EMNLP)

Ryan Vo | Work in progress: axiom-forge-ryan-vo

Ryan Vo | Work in progress: atlas-observatory-ryan-vo

Alan Vo | Work in progress: cobalt-lens-alan-vo

Ryan Vo | Work in progress: orbit-hub-ryan-vo

Alan Vo | Diffusion model workflow orchestration platform with model registry, graph editor, and local inference engine

Alan Vo | Work in progress: model-release-gatekeeper-alan-vo

Collaborative research at the intersection of breast histopathology, data science, and deep learning.

Alan Vo | Work in progress: sentinel-engine-145

Ryan Vo | Work in progress: knowledge-freshness-monitor-ryan-vo

Ce projet vise à construire une solution de Machine Learning permettant d’analyser le comportement des clients, d’identifier différents profils de clientèle grâce à la segmentation, puis de prédire le risque de résiliation d’un abonnement (churn).

Hybrid movie recommender with MongoDB Atlas, content-based + collaborative filtering, and a Streamlit dashboard

Top Automated Machine Learning Automl (Opensource) Star if you like it!

Ryan Vo | Work in progress: tensor-hub-ryan-vo

Alan Vo | Work in progress: ai-cloud-manager-alan-vo

Ryan Vo | Work in progress: beacon-pilot-144-ryan-vo

Customer churn decision support: calibrated churn model, threshold economics, SHAP explanations, FastAPI service and Streamlit dashboard

Alan Vo | Work in progress: ci-failure-triage-alan-vo

Ryan Vo | Work in progress: beacon-lens-144-ryan-vo

Alan Vo | Work in progress: image-dataset-curator-alan-vo

Alan Vo | Work in progress: atlas-console-alan-vo