Stars
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Robust Speech Recognition via Large-Scale Weak Supervision
scikit-learn: machine learning in Python
[EMNLP 2025 Demo] PDF scientific paper translation with preserved formats - 基于 AI 完整保留排版的 PDF 文档全文双语翻译，支持 Google/DeepL/Ollama/OpenAI 等服务，提供 CLI/GUI/MCP/Docker/Zotero
Convert PDF to markdown + JSON quickly with high accuracy
TradingAgents: Multi-Agents LLM Financial Trading Framework
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
Download market data from Yahoo! Finance's API
State-of-the-Art Text Embeddings
A Library for Advanced Deep Time Series Models for General Time Series Analysis.
Bayesian Modeling and Probabilistic Programming in Python
A python library for user-friendly forecasting and anomaly detection on time series.
A collection of machine learning examples and tutorials.
A curated list of practical financial machine learning tools and applications.
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…
This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.
Python library that makes it easy for data scientists to create charts.
The machine learning toolkit for time series analysis in Python
With Holoviews, your data visualizes itself.
A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputatio…
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
A program for financial portfolio management, analysis and optimisation.
Bringing BERT into modernity via both architecture changes and scaling
Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.
Math OCR model that outputs LaTeX and markdown