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Compare the performance of different LLM that can be deployed locally on consumer hardware. Run yourself with Colab WebUI.
The best way to read The Enchiridion from Epictetus — We compiled translations from different authors at different points of history alongside the original Enchiridion to make sure you can read you…
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
A work-in-progress book on Dask
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
There can be more than Notion and Miro. AFFiNE(pronounced [ə‘fain]) is a next-gen knowledge base that brings planning, sorting and creating all together. Privacy first, open-source, customizable an…
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced research…
PyTorch (and PyTorch Lightning) implementation of Neural Style Transfer, Pix2Pix, CycleGAN, and Deep Dream!
Dive into this repository, a comprehensive resource covering Data Structures, Algorithms, 450 DSA by Love Babbar, Striver DSA sheet, Apna College DSA Sheet, and FAANG Questions! 🚀 That's not all! W…
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
Roadmap to becoming an Artificial Intelligence Expert in 2022
Ipython notebooks for math and finance tutorials
Research in investment finance with Python Notebooks
List of papers, code and experiments using deep learning for time series forecasting
Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
TensorFlow Tutorials with YouTube Videos
Code for Machine Learning for Algorithmic Trading, 2nd edition.
150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data
Julia and Python complex system applications in ecology, epidemiology, sociology, economics & finance; network science models including Bianconi-Barabási, Barabási-Albert, Watts-Strogatz, Waxman Mo…
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
A tool for developing reinforcement learning algorithms focused in stock prediction