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.

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

NYU Deep Learning Spring 2020

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

ARCHIVED: Contains historical course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL

[NeurIPS 2020] Official code for the paper "DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation". Includes a PyTorch library for deep learning with SVG data.

Coursera Machine Learning - Python code

https://www.youtube.com/playlist?list=PLHae9ggVvqPgyRQQOtENr6hK0m1UquGaG

Kaggle Kernel for House Prices competition https://www.kaggle.com/massquantity/all-you-need-is-pca-lb-0-11421-top-4

Keras implementation of Sketch RNN

RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)

Contextual Attention Network: Transformer Meets U-Net

Tensorflow example of a conv GAN on MNIST.

Python implementation of the programming assignment from Machine Learning class on Coursera, which is originally implemented in Matlab/Octave.

Example Google Colaboratory notebooks covering different topics.

Welcome to my data science and machine learning tutorials. I am on the 30 days challenge and you can learn by doing with me.

Data Mining Challenge - Sharif University of Technology - July - 2019

Kadenze Course: Creative Applications of Deep Learning with TensorFlow