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SearXNG is a free internet metasearch engine which aggregates results from various search services and databases. Users are neither tracked nor profiled.
Composio equip's your AI agents & LLMs with 100+ high-quality integrations via function calling
Code Transformer neural network components piece by piece
200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science.
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Jupyter notebook tutorials from QuantConnect website for Python, Finance and LEAN.
A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
A curated list of practical financial machine learning tools and applications.
A curated list of practical financial machine learning (FinML) tools and applications in Python.
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Advers…
😎 A curated list of the Question Answering (QA)
Plumb a PDF for detailed information about each char, rectangle, line, et cetera — and easily extract text and tables.
Financial Domain Question Answering with pre-trained BERT Language Model
A Python package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainable AI )
A collection of algorithms and data structures
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
A curated awesome list of lists of interview questions. Feel free to contribute! 🎓
Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.
The Open Source Feature Store for Machine Learning
A simple program which checks Python source files for errors
A very simple framework for state-of-the-art Natural Language Processing (NLP)
The OWASP Cheat Sheet Series was created to provide a concise collection of high value information on specific application security topics.
Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison
A complete computer science study plan to become a software engineer.
Testing framework to simplify writing ML unit tests.
📃 A list of practical projects that anyone can solve in any programming language.