Feasible cost konfigurable NAT: An AWS NAT Instance AMI

Temporal service

Lightweight coding agent that runs in your terminal

Semgrep extension for Visual Studio Code

A MCP server for using Semgrep to scan code for security vulnerabilities.

Dynamic tuning for the OCaml garbage collector

Send emails directly from Cursor with this email sending MCP server

A Python library for rapid prototyping, experimenting, and logging of federated learning using state-of-the-art models and datasets. Built using PyTorch and PyTorch Lightning.

Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)

Inference code for Llama models

An extremely fast Python linter and code formatter, written in Rust.

chrome extension + web-app providing users an incentive scheme surrounding focus sessions, avoiding social media distractions :)

Run, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, 20+ clouds, or on-prem).

Lightweight static analysis for many languages. Find bug variants with patterns that look like source code.

Lightweight static analysis for many languages. Find bug variants with patterns that look like source code.

Chrome extension + web-app providing users an incentive scheme surrounding focus sessions, avoiding social media distractions :)

a collection of dotfiles, as may be obvious

Django-based web/alerting interface for connecting COVID-19 resource requestors to the resource suppliers.

A simple federated learning implementation on MNIST dataset using PySyft. Main goal of the project was to get used to the PySyft federated learning functionality instead of using traditional PyTorc…

A simple link opening tracker

Our HackPrinceton Fall 2018 project

A template repository to quickly get started on a new Machine Learning project.

There's no publicly available free-to-use Manga Dataset, so I decided to make one artificially!

An unsupervised approach to music recommendation without accessing other users' data and use traditional recommendation algorithms like collaborative filtering.

Code for "SplitEasy: A Practical Approach for Training ML models on Mobile Devices" [ACM HotMobile 2021]

AI Connect Four Player

Perform data science on data that remains in someone else's server

A Swift library for creating and exporting CoreML Models in Swift

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.