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.
25 November 2018 A tool that makes deep learning with Keras easier ergo (from the Latin sentence "Cogito ergo sum") is a tool that makes deep learning with Keras easier.
25 November 2018 Notes on the Deep Learning book from Ian Goodfellow Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
16 October 2018 Near Real Time CPU Face detection using deep learning CPU (Near) Real Time face detection
24 September 2018 Data augmentation libarary for Deep Learning Data augmentation libarary for Deep Learning, which supports images, segmentation masks, labels and keypoints. Furthermore, SOLT is fast and has OpenCV in its backend.
24 September 2018 Deep learning Keras models lifecycle backup/restore nano framework DL backup/restore nano framework.
23 September 2018 A paper list of object detection using deep learning A paper list of object detection using deep learning. I worte with reference to this survey paper
10 September 2018 The implementation of paper Deep Exemplar-based Colorization This is the implementation of paper Deep Exemplar-based Colorization by Mingming He*, Dongdong Chen*, Jing Liao, Pedro V.
03 September 2018 A collection of pre-trained models for state-of-the-art models in deep learning The ONNX Model Zoo is a collection of pre-trained models for state-of-the-art models in deep learning, available in the ONNX format.
27 August 2018 Utilities for preprocessing text for deep learning with Keras ktext performs common pre-processing steps associated with deep learning (cleaning, tokenization, padding, truncation).