Stars
AppAgent: Multimodal Agents as Smartphone Users, an LLM-based multimodal agent framework designed to operate smartphone apps.
MJML: the only framework that makes responsive-email easy
Translating Akkadian signs to transcriptions using NLP techniques such as HMM, MEMM and BiLSTM neural networks.
Solving the Traveling Salesman Problem using Self-Organizing Maps
A unified, comprehensive and efficient recommendation library
Export all clippings from your Kindle device to a database in Notion.
Scikit-Criteria is a collection of Multiple-criteria decision analysis (MCDA) methods integrated into scientific python stack. Is Open source and commercially usable.
Compilation of examples of SageMaker inference options and other features.
A Python package for identifying hundreds of kinds of animals, training custom models, and estimating distance from camera trap videos and images
Movement trajectory classes and functions built on top of GeoPandas
scikit-mobility: mobility analysis in Python
Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
Python tools for spatial trajectory and time-series data analysis
[AAAI 2022] Seq2Pat: Sequence-to-Pattern Generation Library
A comprehensive Spark guide collated from multiple sources that can be referred to learn more about Spark or as an interview refresher.
Build and deploy a serverless data pipeline on AWS with no effort.
Lightning ⚡️ fast forecasting with statistical and econometric models.
Calculates various features from time series data. Python implementation of the R package tsfeatures.
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
Concrete ML: Privacy Preserving ML framework using Fully Homomorphic Encryption (FHE), built on top of Concrete, with bindings to traditional ML frameworks.
ST-DBSCAN: Simple and effective tool for spatial-temporal clustering
A python library for user-friendly forecasting and anomaly detection on time series.
Python programs, usually short, of considerable difficulty, to perfect particular skills.
🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
(archived) model stuffs to try and find the players most likely to have a breakout season
A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.