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Code for the Kaggle acquire valued shoppers challenge.

Winning solution for the Galaxy Challenge on Kaggle.

An implementation of Dell Zhang's solution to Wikipedia's Participation Challenge on Kaggle.

Can you spot the DeepFake? Detect Fakes challenges you to discern AI-manipulated videos from real videos. Can you do better than an algorithm?

Apply AI to everyday challenges in the comfort of your terminal. Help’s to get better results with tried and tested library of prompt pattern’s.

A no-coding course by NVIDIA that presents Generative AI concepts and applications, as well as the challenges and opportunities in the field.

Source code and experiments results for TGS Salt Identification Challenge.

Source code and experiments results for Airbus Ship Detection Challenge.

Source code for Toxic Comment Classification Challenge.

Source code and experiments results for Santander Value Prediction Challenge.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Layer - Neural network inference from the command line, implemented in.

Face recognition library that recognizes and manipulates faces from Python or from the command line.

FastEdit aims to assist developers with injecting fresh and customized knowledge into large language models efficiently using one single command.

Library for doing GPR (Gaussian Process Regression) in OCaml. Comes with a command line application.

Run LLM backends, APIs, frontends, and services with one command.

Neural network inference from the command line, implemented in CHICKEN Scheme.

Serve Llama 2 and other large language models locally from command line or through a browser interface.

A macOS app for browsing Claude Code sessions, exploring diffs, and re-running commands. Reads local transcripts, runs offline, open source.