Deep Learning Books

Collection of useful machine learning codes and snippets (originally intended for my personal use)

Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratch using Python.

Understanding Deep Learning - Simon J.D. Prince

Paper reading notes on Deep Learning and Machine Learning

Exercise solutions for Foundations of Deep Learning course @ Albert-Ludwigs-Universität, Freiburg

Deep Learning Exercises taught in FAU Erlangen

Exercises and supplementary material for the deep learning course 02456 using PyTorch.

Deep Learning Exercise and Notebook

This repository will contain my notes and python codes of the book "Deep Learning" of Ian Goodfellow

🧮 A collection of resources to learn mathematics for machine learning

Tatoeba is a platform whose purpose is to create a collaborative and open dataset of sentences and their translations.

Programming Assignments and Lectures for Geoffrey Hinton's "Neural Networks for Machine Learning" Coursera course

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Download all the wallpapers in MKBHD's "Panels" app

Lecture slides for study about "Deep Learning" written by Ian Goodfellow, Yoshua Bengio and Aaron Courville

Notes from [lectures](https://www.youtube.com/playlist?list=PLE7DDD91010BC51F8) taught by Prof. Gilbert Strang

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

Resources about time series forecasting and deep learning.

Mamba or Transformer for Time Series Forecasting? Mixture of Universals (MoU) Is All You Need.

Code for our paper "VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters".

Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting

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

LLM101n: Let's build a Storyteller

[TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)

Applied Deep Learning Course

This repository contains various models targetting multimodal representation learning, multimodal fusion for downstream tasks such as multimodal sentiment analysis.