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An implementation of Maximum Mean Discrepancy (MMD) as a differentiable loss in PyTorch.
📦 A Python package for online changepoint detection, implementing state-of-the-art algorithms and a novel approach based on neural networks.
Sync pages from Notion to GitHub to be used as a static website (JAM)
This repository contains a reading list of papers on Time Series Segmentation. This repository is still being continuously improved.
A toolkit for Bayesian change point detection
Python command line wrapper for pyright, a static type checker
A light-weight, flexible, and expressive statistical data testing library
Represent, send, store and search multimodal data
A tutorial for setting a new machine with core data science tools
Convert ebooks to audiobooks with chapters and metadata using dynamic AI models and voice cloning. Supports 1,107+ languages!
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
A template to kick-start your Python project ✨🚀
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Bayesian Change-Point Detection and Time Series Decomposition
Python sample codes and documents about Autonomous vehicle control algorithm. This project can be used as a technical guide book to study the algorithms and the software architectures for beginners.
Real-time Feature Pipelines in Python ⚡
Python-centered read-along of Forecasting: Principles and Practice
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
Confluent's Kafka Python Client
Source Code for our Simple Walkthrough Videos
A curated list of Large Language Model resources, covering model training, serving, fine-tuning, and building LLM applications.
A centralized hub for accessing and downloading code samples, scripts, and resources from radarmimo.com. Explore open-source code snippets covering radar signal processing, MIMO systems, and more. …
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…