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? A curated list of awesome LLMs & deep learning strategies & tools in financial market.

Plotly for Rust

Django Ledger is a double entry accounting system and financial analysis engine built on the Django Web Framework.

OpenBudgeteer is a budgeting app based on the Bucket Budgeting Principle

A Zero-dependency TypeScript/JavaScript financial library (based on numpy-financial) for Node.js, Deno and the browser

A lightweight personal bookkeeping app hosted by yourself.

A high-performance, arbitrary-precision, floating-point decimal library.

Highly customizable charting library, created for professional traders

We start a company-name recognition task with a small scale and low quality training data, then using skills to enhanced model training speed and predicting performance with least artificial participation. The methods we use involve lite pre-training models such as Albert-small or Electra-small with financial corpus, knowledge of distillation and multi-stage learning. The result is that we improve the recall rate of company names recognition task from 0.73 to 0.92 and get 4 times as fast as BERT-Bilstm-CRF model.

Knowledge Graph for Legal Documents using Litigation Releases from the SEC website. Classifies into different crimes, extracts relevant information (violator, violation, action taken by authorities and fines) and finally generates the knowledge graph.