Stars
Movement trajectory classes and functions built on top of GeoPandas
AI-driven database tool and SQL client, The hottest GUI client, supporting MySQL, Oracle, PostgreSQL, DB2, SQL Server, DB2, SQLite, H2, ClickHouse, and more.
AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data…
A Library for Advanced Deep Time Series Models for General Time Series Analysis.
Repository of Transformer based PyTorch Time Series Models
Finding of ACL2023: Clustering-Aware Negative Sampling for Unsupervised Sentence Representation
A large-scale 7B pretraining language model developed by BaiChuan-Inc.
Resilient Infrastructure Simulation Environment
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
"DeepDPM: Deep Clustering With An Unknown Number of Clusters" [Ronen, Finder, and Freifeld, CVPR 2022]
Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
A python/pytorch package for invertible neural networks
Awesome resources on normalizing flows.
LibCity: An Open Library for Urban Spatial-temporal Data Mining
Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Automatic Differentiation Library for Computational and Mathematical Engineering
Code repository of the paper Learning Long-Term Dependencies in Irregularly-Sampled Time Series
An index of algorithms for learning causality with data
Neural Ordinary Differential Equations for Intervention Modeling
Streamlit — A faster way to build and share data apps.
This curated list contains python packages for time series analysis

