Boost LaTeX typesetting efficiency with preview, compile, autocomplete, colorize, and more.

This repo provides a customizable stack for starting new ML projects on Databricks that follow production best-practices out of the box.

GPU Development in Python 101 tutorial

Learn how to design, develop, deploy and iterate on production-grade ML applications.

The Patterns of Scalable, Reliable, and Performant Large-Scale Systems

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

Pointcept: a codebase for point cloud perception research. Latest works: PTv3 (CVPR'24 Oral), PPT (CVPR'24), OA-CNNs (CVPR'24), MSC (CVPR'23)

Implementaion of Auto Encoder in Pytorch

A case study on Pfam dataset to classify protein families.

MLX: An array framework for Apple silicon

Convolutional Neural Networks

Classifying malignant and benign tumors using Neural Networks 🔬

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

[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs

Preparation for Machine Learning Interview

Data Carpentry website

A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

A curated list of awesome resources combining Transformers with Neural Architecture Search

This repository contains mini projects in machine learning with notebook files

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…

The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to expand my knowledge, it is now an open knowledge-sharing projec…

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan…

Implementation of different ML Algorithms from scratch, written in Python 3.x

A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.

📚 Freely available programming books

Repository for the free online book Machine Learning from Scratch (link below!)

Use code to visualize and determine runtime complexities for different algorithms.

365 Days Computer Vision Learning Linkedin Post

Course: Deep Learning