MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

A python project starter template for data-analytics and data-science.

🌎 machine learning tutorials (mainly in Python3)

Ship AI Agents to Google Cloud in minutes, not months. Production-ready templates with built-in CI/CD, evaluation, and observability.

Examples and guides for using the Gemini API

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

Curated list of data science interview questions and answers

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

Learn LeetCode and prepare for coding interviews with free resources.

Fast Neural Style Transfer in Pytorch

Torch implementation of neural style algorithm

Feedforward style transfer

This is a repo for maintaining the schedule of top machine learning and social computating conferences.

.pdf Format Books for Machine and Deep Learning

Graphormer is a general-purpose deep learning backbone for molecular modeling.

Dynamic Measurement Scheduling for Event Forecasting using Deep RL (ICML 2019)

Pytorch implementation of Wasserstein Generative Adversarial Network (WGAN)

predict future Apple stock prices using LSTM and GRU models.

Transfer Learning to Classify CIFAR-100 images

Protein-compound affinity prediction through unified RNN-CNN

Deep probabilistic analysis of single-cell and spatial omics data

Persian text normalizer (Python version of https://github.com/aziz/virastar)

A simple POS Tagger made using a Bidirectional LSTM using keras trained on the Brown Corpus