17 September 2020 Instagram-like filters with deep learning Modifiy images using Instagram-like filters in python.
30 March 2020 Deep Q-learning for playing tetris game Here is my python source code for training an agent to play Tetris. It could be seen as a very basic example of Reinforcement Learning's application.
30 January 2020 A Guide to Production Level Deep Learning A guideline for building practical production-level deep learning systems to be deployed in real world applications.
08 December 2019 An end-to-end PyTorch framework for image and video classification Classy Vision is a new end-to-end, PyTorch-based framework for large-scale training of state-of-the-art image and video classification models.
07 December 2019 Car Recognition with Deep Learning This repository is to do car recognition by fine-tuning ResNet-152 with Cars Dataset from Stanford.
07 December 2019 Open deep learning compiler stack for cpu and specialized accelerators Apache TVM (incubating) is a compiler stack for deep learning systems.
06 December 2019 Deep Learning Framework for various Image Recognition Tasks Deep Learning Framework for various Image Recognition Tasks. Photogrammetry and Robotics Lab, University of Bonn.
04 December 2019 A lightweight deep learning framework written in Python3 tinynn is a lightweight deep learning framework written in Python3 (with NumPy).
10 October 2019 A deep learning utility library for visualization and sensor fusion purpose Alfred is command line tool for deep-learning usage. if you want split an video into image frames or combine frames into a single video, then alfred is what you want.
14 September 2019 An Open-Source Library for Training Binarized Neural Networks Larq is an open-source deep learning library for training neural networks with extremely low precision weights and activations, such as Binarized Neural Networks (BNNs).
08 September 2019 Variational Recurrent Autoencoder for timeseries clustering in pytorch Timeseries clustering is an unsupervised learning task aimed to partition unlabeled timeseries objects into homogenous groups/clusters.
07 September 2019 Sends your deep learning training loss to your slack channel after every specified epoch This package sends your deep learning training loss and accuracy to your slack channel after every specified epoch. It uses slackclient and keras python packages.
07 September 2019 A Deep Learning Optimizer Benchmark Suite DeepOBS is a benchmarking suite that drastically simplifies, automates and improves the evaluation of deep learning optimizers.
06 September 2019 Extract deep learning features from images using simple python interface Extract deep learning features from images using simple python interface.
05 September 2019 A python package to analyze and compare voices with deep learning Resemblyzer allows you to derive a high-level representation of a voice through a deep learning model (referred to as the voice encoder).
13 June 2019 Bridging deep learning and logical reasoning using a differentiable satisfiability solver Bridging deep learning and logical reasoning using a differentiable satisfiability solver.
22 May 2019 A PyTorch implementation of ESPCN based on CVPR 2016 paper A PyTorch implementation of ESPCN based on CVPR 2016 paper "Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network".
17 May 2019 Doc Product: Medical Q&A with Deep Language Models Quality medical information is valuable to everyone, but it's not always readily available. Doc Product aims to fix that.
04 May 2019 A PyTorch-Based Framework for Deep Learning in Computer Vision A PyTorch-Based Framework for Deep Learning in Computer Vision.
03 May 2019 A Deep Learning Case Study to detect one of the Seven Human Facial Expressions A Deep Learning Case Study to detect one of the Seven Human Facial Expressions in Still Images and in Real Time.
20 April 2019 Deep Q-learning for playing flappy bird game It could be seen as a very basic example of Reinforcement Learning's application.
12 April 2019 Gathers machine learning and deep learning models for Stock forecasting Gathers machine learning and deep learning models for Stock forecasting, included trading bots and simulations.
20 March 2019 Experiment tracking for machine and deep learning projects ModelChimp is an experiment tracker for Deep Learning and Machine Learning experiments.
29 November 2018 VIP cheatsheets for Stanford's CS 230 Deep Learning Deep Learning cheatsheets for Stanford's CS 230
26 November 2018 AI trained using Genetic Algorithm and Deep Learning to play the game of snake Neural Network Trained using Genetic Algorithm which acts as the brain for the snake.