Streamlit LLM app examples for getting started

A list of selected resources, methods, and tools dedicated to Legal Text Analytics.

LexNLP by LexPredict

Code for Everything Has a Cause: Leveraging Causal Inference in Legal Text Analysis (NAACL 2021 oral paper)

Silero Models: pre-trained text-to-speech models made embarrassingly simple

Keras implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation". Includes synthetic GED data.

State-of-the-Art Text Embeddings

TensorFlow code and pre-trained models for BERT

Graph convolutional networks (GCN), graphSAGE and graph attention networks (GAT) for text classification

Create a knowledge graph out of unstructed legal text - use said knowledge graph in a graph augmented retrieval augmented generation pipeline

Source code and dataset for the CCKS2021 paper "Text-guided Legal Knowledge Graph Reasoning".

Benchmarking Legal Knowledge of Large Language Models

Time series anomaly detection algorithm implementations for TimeEval (Docker-based)

Source code of CIKM'22 paper: TFAD: A Decomposition Time Series Anomaly Detection Architecture with Frequency Analysis

A Multipurpose Library for Synthetic Time Series Generation in Python

Streamlit — A faster way to build and share data apps.

A Python memory profiler for data processing and scientific computing applications

This repository is a list of machine learning libraries written in Rust. It's a compilation of GitHub repositories, blogs, books, movies, discussions, papers, etc. 🦀

Python library for converting Python calculations into rendered latex.

Fixes mojibake and other glitches in Unicode text, after the fact.

Anomaly Detection and Correlation library

Package for Time Series Forecasting and Anomaly Detection Problems.

WWW 2018: Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications

A time series generation tool for KPI anomaly detection

Implementation of Peaks-over-Threshold algorithms, including POT, Stream POT (SPOT), and SPOT with Drift (DSPOT).

An echo state network (ESN) for video prediction

A Python package for data analysis with permutation entropy and ordinal network methods.