15 February 2019 A high-quality image dataset of human faces Flickr-Faces-HQ (FFHQ) is a high-quality image dataset of human faces.
15 February 2019 Token level embeddings from BERT model on mxnet and gluonnlp BERT, published by Google, is new way to obtain pre-trained language model word representation. Many NLP tasks are benefit from BERT to get the SOTA.
15 February 2019 This code helps you to classify digits using OpenCV and CNN This code helps you classify digits using openCV and Convolutional Neural Network.
15 February 2019 A Nested U-Net Architecture for Medical Image Segmentation This is an implementation of "UNet++: A Nested U-Net Architecture for Medical Image Segmentation" in Keras deep learning framework (Tensorflow as backend).
15 February 2019 A Python compiler written in Python You feed it your Python app, it does a lot of clever things, and spits out an executable or extension module.
15 February 2019 A simple project that demonstrates how to create an executable from Python A simple project that demonstrates how to create an executable from a Python project.
15 January 2019 Defeating the latest version of ReCaptcha with 91% accuracy Created in April 2017, unCaptcha achieved 85% accuracy defeating Google's ReCaptcha.
15 January 2019 Deep Reinforcement Learning Algorithms with PyTorch This repository contains PyTorch implementations of deep reinforcement learning algorithms.
14 January 2019 Machine reading comprehension with self matching networks A Tensorflow Implementation of R-net: Machine reading comprehension with self matching networks.
14 January 2019 Contains the dataset of natural images of grocery items This repository contains the dataset of natural images of grocery items.
14 January 2019 Using the latest advancements in AI to predict stock market movements In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results.
08 January 2019 Synchronized Multi-GPU Batch Normalization This is alternative implementation of "Synchronized Multi-GPU Batch Normalization" which computes global stats across gpus instead of locally computed.
08 January 2019 Dynamic web based reports/dashboards in Python Dynamic web based reports/dashboards in Python.
28 December 2018 Combining Faster R-CNN and U-net for efficient whole heart segmentation This is a Pytorch implementation of CFUN for whole heart segmentation.
28 December 2018 Multiple Fill and Color Scales in ggplot2 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!
28 December 2018 Deep semantic-visual embedding with localization Training and evalutation code for the paper Finding beans in burgers: Deep semantic-visual embedding with localization.
28 December 2018 A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.
28 December 2018 Neuroevolution demo through TensorFlow.js Neuroevolution-Bots is a personal project that demonstrates neuroevolution in a browser environment using TensorFlow.js
09 December 2018 A Python Toolkit for Scalable Outlier Detection PyOD is a comprehensive and scalable Python toolkit for detecting outlying objects in multivariate data.
09 December 2018 Learning to synthesize 3D textured objects with GANs We present Visual Object Networks (VON), an end-to-end adversarial learning framework that jointly models 3D shapes and 2D images.
09 December 2018 A library which aims to bring enjoyable logging in Python Loguru is a library which aims to bring enjoyable logging in Python.
09 December 2018 GPU- and TPU-backed NumPy with differentiation and JIT compilation JAX is Autograd and XLA, brought together for high-performance machine learning research.
29 November 2018 Pytorch-based tools for visualizing and understanding the neurons of a GAN Pytorch-based tools for visualizing and understanding the neurons of a GAN