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Machine Learning and Computer Vision Engineer - Technical Interview Questions
Anthropic's original performance take-home, now open for you to try!
Machine Learning Engineering Open Book
Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.
A PyTorch implementation of Xception: Deep Learning with Depthwise Separable Convolutions
This repository is a collection of famous books that a person who has keen to learn programming, should go through in his career.
Building Language Applications with Hugging Face. book by Lewis Tunstall, Leandro von Werra, and Thomas Wolf
Automatic client and server certificate distribution and maintenance
A Game Boy emulator written in OCaml that runs in your browser 🐫 🎮
Curated list of project-based tutorials
Embedding space of names clustered based on their interests using the sentence-transformers all-MiniLM-L6-v2 model
Systems design is the process of defining the architecture, modules, interfaces, and data for a system to satisfy specified requirements. Systems design could be seen as the application of systems …
Books related to Artificial Intelligence, Machine Learning, Deep Learning and Neural Networks
Lib to make data intended for machines, readable to humans.
A python library for test combinations generator. The generator allows one to create a set of tests using "pairwise combinations" method, reducing a number of combinations of variables into a lesse…
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
Code for the online course "Deployment of Machine Learning Models"
Solve puzzles. Improve your pytorch.
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.