20 March 2019 Experiment tracking for machine and deep learning projects ModelChimp is an experiment tracker for Deep Learning and Machine Learning experiments.
20 March 2019 An open source python library for scalable Bayesian optimisation Dragonfly is an open source python library for scalable Bayesian optimisation.
20 March 2019 An Implementation of Distributed Prioritized Experience Replay in PyTorch PyTorch Implementation of Distributed Prioritized Experience Replay(Ape-X).
20 March 2019 Kaggle Humpback Whale Identification Challenge 2019 2nd place code This is the source code for my part of the 2nd place solution to the Humpback Whale Identification Challenge hosted by Kaggle.com.
20 March 2019 ROS 2 enabled Machine Learning algorithms This repository contains a number of ROS and ROS 2 enabled Artificial Intelligence (AI) and Reinforcement Learning (RL) algorithms that run in selected environments.
25 February 2019 Deep learning on graphs with Keras Spektral is a framework for relational representation learning, built in Python and based on the Keras API.
25 February 2019 Feature Denoising for Improving Adversarial Robustness Feature Denoising for Improving Adversarial Robustness.
25 February 2019 Custom Object Detection and Classification Training Custom Object Detection and Classification Training.
25 February 2019 Weakly Supervised Semantic Segmentation list This repository contains lists of state-or-art weakly supervised semantic segmentation works. Papers and resources are listed below according to supervision types.
18 February 2019 A Telegram bot to monitor and control deep learning experiments Telegram bot to monitor and control deep learning experiments.
18 February 2019 Drawing isolines and isobands with ggplot2 This package provides a ggplot2 interface to the isoband library which can generate contour lines (isolines) and contour polygons (isobands) from regularly spaced grids containing elevation data.
18 February 2019 Selfhosted API Scraper for pulling Vehicle Telemetry from the Tesla Owner API Selfhosted API Scraper for pulling Vehicle Telemetry from the Tesla Owner API into an InfluxDB visualisation on Grafana Dashboards.
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.