yugkhanna
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📊 Simple package for monitoring and control your NVIDIA Jetson [Orin, Xavier, Nano, TX] series
Training and Detecting Objects with YOLO3
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
YoloV3 Implemented in Tensorflow 2.0
A complete computer science study plan to become a software engineer.
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
A curated collection of common interview questions to help you prepare for your next interview.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Python client for Moss: A System for Detecting Software Similarity
Over 400 software engineering companies that are easy to apply to
The hackable text editor
The 1.x line is frozen - features and bugfixes now happen on https://github.com/yarnpkg/berry
Set up a modern web app by running one command.
The Python micro framework for building web applications.
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
This repo contains all the cheatsheets you need to keep handy, I will add more soon.
Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.
A crash course in six episodes for software developers who want to become machine learning practitioners.
Public facing notes page
A toolkit for developing and comparing reinforcement learning algorithms.
🐍 Client library to use the IBM Watson services in Python and available in pip as watson-developer-cloud
Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
Python Data Science Handbook: full text in Jupyter Notebooks
Programming Assignments and Lectures for Andrew Ng's "Machine Learning" Coursera course
Programming Assignments and Lectures for Stanford's CS 224: Natural Language Processing with Deep Learning
Programming Assignments and Lectures for UC Berkeley's CS 294: Deep Reinforcement Learning
These are coding solutions for problems I study while preparing for technical interviews at tech companies