MLX: An array framework for Apple silicon
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MLX: An array framework for Apple silicon
Stable Diffusion with Core ML on Apple Silicon
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
A Python scikit for building and analyzing recommender systems
VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.
On-device wake word detection powered by deep learning
Local speech-to-text for macOS on-device AI, fully private, optional cloud
Imagination Studio by keys+Wasserman powered by TensorFold: an AI film studio for Mac and NVIDIA DGX Spark. Plan a film like a crew (Slate workflow by Sam Wasserman), render Qwen-Image-2.1 / FLUX3-K pictures and MiniMax H3 / FastH3 video with sound on TensorFold.
Tiny world model generates games and stream ac plays them all on Pico 2W
Fast and Portable Character String Processing in R (with the Unicode ICU)
RNA-seq prediction with deep convolutional neural networks.
Pytorch framework for doing deep learning on point clouds.
A fast Swift diffing library.
A Macau food recommendation Agent built on Thompson Sampling + StackedPareto weight fusion, with a full evaluation pipeline (5-fold CV, bootstrap CIs, stress tests) on 5,000 simulated users and 100k interactions. Competition entry for the QwenPaw AI Developer Challenge.
A Go library for performing Unicode Text Segmentation as described in Unicode Standard Annex #29
An enhanced unification algorithm for Coq
Window-Based Hybrid CPU/GPU Stream Processing Engine
Unicode text segmentation for OCaml
MCP server + CLI for production-grade software assets (logos, app icons, favicons, OG, illustrations) — routes across 30+ image models, zero-key first, validates before shipping.
Sandboxed devcontainer for running Claude Code, Codex, and OpenCode in bypass / auto-approve mode.
Generate conventional commit messages using AI, directly in Neovim
An Icon classifier made with TFLite Model Maker and deployed to Android with ML Model Binding.