Convex optimization for statistics and machine learning

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

For deep learning and pytorch education

time series classification from scratch with deep neural networks (WIP)

tracking papers, datasets, and models of "large language model (LLM) for time series"

Multi-scale Attention Convolutional Neural Network for Time Series Classification

Multi channel deep convolutional neural network for time series classification

科技爱好者周刊，每周五发布

Computations and statistics on manifolds with geometric structures.

Tutorial material on the scientific Python ecosystem

Materials for the "From R Markdown to Quarto" ASA Traveling Workshop Website

This repository includes PyTorch implementations, training processes, and benchmarking for various Diffusion Models created entirely from scratch.

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

Keras implementations of Generative Adversarial Networks.

Companion webpage to the book "Mathematics For Machine Learning"

Course notes for CS228: Probabilistic Graphical Models.

Lecture materials for Cornell CS5785 Applied Machine Learning (Fall 2024)

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

Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"

A set of nice Quarto templates

R Data manipulation with Tidyverse

quarto extension to use academicons in HTML documents

Awesome-LLM: a curated list of Large Language Model

A tutorial on the t-SNE learning algorithm