Created in April 2017, unCaptcha achieved 85% accuracy defeating Google's ReCaptcha.
This repository contains PyTorch implementations of deep reinforcement learning algorithms.
ASCII snow in your terminal.
A Tensorflow Implementation of R-net: Machine reading comprehension with self matching networks.
This repository contains the dataset of natural images of grocery items.
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results.
This is alternative implementation of "Synchronized Multi-GPU Batch Normalization" which computes global stats across gpus instead of locally computed.
Dynamic web based reports/dashboards in Python.
Connect(); 2018 - AI Visual Provision Sample App.
This is a Pytorch implementation of CFUN for whole heart segmentation.
ggnewscale tries to make it painless to use multiple color and fill scales in ggplot2. It’s very experimental, so use at your own risk!
Training and evalutation code for the paper Finding beans in burgers: Deep semantic-visual embedding with localization.
A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.
Neuroevolution-Bots is a personal project that demonstrates neuroevolution in a browser environment using TensorFlow.js
PyOD is a comprehensive and scalable Python toolkit for detecting outlying objects in multivariate data.
We present Visual Object Networks (VON), an end-to-end adversarial learning framework that jointly models 3D shapes and 2D images.
Loguru is a library which aims to bring enjoyable logging in Python.
JAX is Autograd and XLA, brought together for high-performance machine learning research.
Pytorch-based tools for visualizing and understanding the neurons of a GAN
Pandas Bokeh provides a Bokeh plotting backend for Pandas and GeoPandas, similar to the already existing Visualization feature of Pandas.
Creating animations should be easy. This module makes it easy to adapt your existing visualization code to create an animation.
Deep Learning cheatsheets for Stanford's CS 230
Parallel Faster R-CNN implementation with MXNet.
DeepSearch is a simple command line tool for bruteforce directories and files in websites.
This is a fully automated framework for object detection featuring