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12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
12 Weeks, 24 Lessons, AI for All!
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
This repository contains the source code for the paper First Order Motion Model for Image Animation
Companion webpage to the book "Mathematics For Machine Learning"
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Sample code for Channel 9 Python for Beginners course
CoreNet: A library for training deep neural networks
A course in reinforcement learning in the wild
A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
🎁 6,500,000+ Unsplash images made available for research and machine learning
Code for the Make Your Own Neural Network book
Hackers' Guide to Language Models
Generate images from texts. In Russian
Machine Learning University: Accelerated Computer Vision Class
Tutorials and implementations for "Self-normalizing networks"
An implementation of iPhone X's FaceID using face embeddings and siamese networks on RGBD images.
Collection of important articles to be treated as a textbook
Pilot course for Robotics 101: Computational Linear Algebra
Code and files of the deep learning model used to win the Nexar Traffic Light Recognition challenge
This repository hosts the Reference Guide for Quantum Computing, a Microsoft Garage project
Google2Csv a simple google scraper that saves the results on a csv/xlsx/jsonl file
This is the code for "Gaussian Mixture Models - The Math of Intelligence (Week 7)" By Siraj Raval on Youtube