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

Deep probabilistic analysis of single-cell and spatial omics data

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

🌎 machine learning tutorials (mainly in Python3)

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

Learn LeetCode and prepare for coding interviews with free resources.

Curated list of data science interview questions and answers

Protein-compound affinity prediction through unified RNN-CNN

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

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

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

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

Feedforward style transfer

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

Fast Neural Style Transfer in Pytorch

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

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

.pdf Format Books for Machine and Deep Learning

Torch implementation of neural style algorithm

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