Curated list of project-based tutorials

A curated list of engineering blogs

List of Computer Science courses with video lectures.

A curated list of references for MLOps

The Data Engineering Cookbook

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

Applied Deep Learning Course

🎓 List of Udacity Nanodegree programs with links to the free courses in their curricula

Full Stack Deep Learning Online Course

Notes compiled based on AWS E-Learning lessons and transcripts

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…

A middle-to-high level open source algorithm book designed with coding interview at heart!

Roadmap to becoming an Artificial Intelligence Expert in 2022

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

Techniques for deep learning with satellite & aerial imagery

This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

Cracking the Coding Interview 6th Ed. Python Solutions

Generate labelled synthetic data for training neural networks

Generation of image semantic segmentation training data from 3D renders.

scripts to convert model formats with blender

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!

A lightweight class for saving the best Tensorflow checkpoints.

IIIT Academics Projects

Labs and demos for courses for GCP Training (http:https://cloud.google.com/training).

DL course co-developed by YSDA, HSE and Skoltech

A course in reinforcement learning in the wild

Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier