ModelChimp is an experiment tracker for Deep Learning and Machine Learning experiments.
Dragonfly is an open source python library for scalable Bayesian optimisation.
PyTorch Implementation of Distributed Prioritized Experience Replay(Ape-X).
This is the source code for my part of the 2nd place solution to the Humpback Whale Identification Challenge hosted by Kaggle.com.
This repository contains a number of ROS and ROS 2 enabled Artificial Intelligence (AI) and Reinforcement Learning (RL) algorithms that run in selected environments.
Spektral is a framework for relational representation learning, built in Python and based on the Keras API.
Feature Denoising for Improving Adversarial Robustness.
Custom Object Detection and Classification Training.
This repository contains lists of state-or-art weakly supervised semantic segmentation works. Papers and resources are listed below according to supervision types.
Telegram bot to monitor and control deep learning experiments.
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.
Asteroids implemented in Pyxel.
Selfhosted API Scraper for pulling Vehicle Telemetry from the Tesla Owner API into an InfluxDB visualisation on Grafana Dashboards.
Flickr-Faces-HQ (FFHQ) is a high-quality image dataset of human faces.
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.
This code helps you classify digits using openCV and Convolutional Neural Network.
This is an implementation of "UNet++: A Nested U-Net Architecture for Medical Image Segmentation" in Keras deep learning framework (Tensorflow as backend).
You feed it your Python app, it does a lot of clever things, and spits out an executable or extension module.
A simple project that demonstrates how to create an executable from a Python project.
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.