Understanding Deep Learning - Simon J.D. Prince

Some useful and neat LaTeX templates for homework, paper and curriculum vitae.

A package for Shrinkage Estimation of Covariance Matrices

Additional exercises and data for EE364a. No solutions; for public consumption.

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

A list of all named GANs!

Code for "Is There a Replication Crisis in Finance" by Jensen, Kelly and Pedersen (2022)

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

How Covid-19 impacts the bond's yield of the components in the S&P 500?

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

CKIP Transformers

A playbook for systematically maximizing the performance of deep learning models.

Data visualizations produced for #TidyTuesdayChallenge, a challenge hosted by R for Data Science.

Self-Supervised Speech/Sound Pre-training and Representation Learning Toolkit

Google Research

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

Course Files for Complete Python 3 Bootcamp Course on Udemy

Python - 100天从新手到大师

Instrumented Principal Components Analysis

This is a PhD course on financial frictions in macroeconomic models. This repository includes all the materials taught and is constantly updated

**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2022 Spring