This package contains the original 2012 AlexNet code.

The fastai book, published as Jupyter Notebooks

The Python programming language

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

An Open Source Machine Learning Framework for Everyone

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

"Deep Learning in Finance" course for Baruch MFE program - Fall 2025

Baruch MFE 2019 Spring

My solutions for the “C++ Programming for Financial Engineering” Online Certificate. It is a joint project by the Baruch MFE program, Dr. Daniel Duffy and QuantNet.

Baruch MFE program quant lab

real time face swap and one-click video deepfake with only a single image

The best ChatGPT that $100 can buy.

🚀🚀 「大模型」2小时完全从0训练64M的小参数GPT！🌏 Train a 64M-parameter GPT from scratch in just 2h!

QuantMinds Rough Volatility Workshop lectures

Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"

Tensors and Dynamic neural networks in Python with strong GPU acceleration

ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.

PyTorch tutorials.

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

Python for Algorithmic Trading Cookbook, published by Packt

Welcome to my data analytics portfolio, showcasing projects on big data, machine learning techniques such as regression and classification, and statistical concepts.

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Calysto Little Computer - LC3 Assembly Language for Jupyter

Implementation of "The Metropolis Algorithm: Theory and Examples"

Execute Python code on the fly and display results in Tableau visualizations:

A tutorial for MNIST handwritten digit classification using sklearn, PyTorch and Keras.

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all