Literature references for “Designing Data-Intensive Applications”

Sketch Your Own GAN: Customizing a GAN model with hand-drawn sketches.

Extract tables from PDF files (port of tabula-java)

Magnificent app which corrects your previous console command.

A light weight Python library for the Spotify Web API

TensorFlow code and pre-trained models for BERT

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

A synthetic data generator for text recognition

Visualizer for neural network, deep learning and machine learning models

🐍 Geometric Computer Vision Library for Spatial AI

Image augmentation for machine learning experiments.

This is the repository for the content of inzva 2020-February Applied AI Study Group, guided by Ahmet Melek.

Code for replication of the paper "The relativistic discriminator: a key element missing from standard GAN"

Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)

A complete computer science study plan to become a software engineer.

PyTorch implementations of Generative Adversarial Networks.

pix2code: Generating Code from a Graphical User Interface Screenshot

Scrapy, a fast high-level web crawling & scraping framework for Python.

Code for the paper Progressive Pose Attention for Person Image Generation in CVPR19 (Oral).

starter from "How to Train a GAN?" at NIPS2016

Torch implementation of neural style algorithm

Public facing notes page

A curated list of awesome computer vision resources

A list of papers on Generative Adversarial (Neural) Networks

Deep Learning and deep reinforcement learning research papers and some codes

Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratch using Python.

The API and real-time application framework