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An implementation of the Nvidia's Parakeet models for Apple Silicon using MLX.
Experiment data and replication codes for the paper Morozov and Tuchman (2024, Marketing Science)
Chronos: Pretrained Models for Probabilistic Time Series Forecasting
데이터 분석가와 개발자를 위한 오픈소스 플랫폼으로 뉴스데이터와 타 분야 데이터를 융합할 수 있는 분석 및 개발 환경을 제공합니다. _Open source platform for data analysts and developers, Providing an analysis and development environment that can fuse news…
A text expander that fully supports Korean letters. 한글을 제대로 지원하는 텍스트 확장기.
Kentaro Matsuura (2022). Bayesian Statistical Modeling with Stan, R, and Python. Springer, Singapore.
Chat with your notes & see links to related content with AI embeddings. Use local models or 100+ via APIs like Claude, Gemini, ChatGPT & Llama 3
The most customizable typing website with a minimalistic design and a ton of features. Test yourself in various modes, track your progress and improve your speed.
A feature-rich command-line audio/video downloader
LlamaIndex is the leading framework for building LLM-powered agents over your data.
LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
Statistical Rethinking Course for Jan-Mar 2023
A collection of various deep learning architectures, models, and tips
Code Repository for Machine Learning with PyTorch and Scikit-Learn
Collection of useful machine learning codes and snippets (originally intended for my personal use)
A playbook for systematically maximizing the performance of deep learning models.
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
Notebooks and code for the book "Introduction to Machine Learning with Python"
TensorFlow Metal Backend on Apple Silicon Experiments (just for fun)
Reference implementation of the Transformer architecture optimized for Apple Neural Engine (ANE)