Literature references for “Designing Data-Intensive Applications”

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

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 browser extension to read medium.com articles for free without membership.

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