Medical image analysis framework merging ANTsPy and deep learning
A collection of deep learning architectures and applications ported to the python language and tools for basic medical image processing.
Instagram-like filters with deep learning
Modifiy images using Instagram-like filters in python.
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.
A Guide to Production Level Deep Learning
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
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.
Car Recognition with Deep Learning
This repository is to do car recognition by fine-tuning ResNet-152 with Cars Dataset from Stanford.
Open deep learning compiler stack for cpu and specialized accelerators
Apache TVM (incubating) is a compiler stack for deep learning systems.
Deep Learning Framework for various Image Recognition Tasks
Deep Learning Framework for various Image Recognition Tasks. Photogrammetry and Robotics Lab, University of Bonn.
A lightweight deep learning framework written in Python3
tinynn is a lightweight deep learning framework written in Python3 (with NumPy).
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.
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).
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.
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.
A Deep Learning Optimizer Benchmark Suite
DeepOBS is a benchmarking suite that drastically simplifies, automates and improves the evaluation of deep learning optimizers.
Extract deep learning features from images using simple python interface
Extract deep learning features from images using simple python interface.
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).
Bridging deep learning and logical reasoning using a differentiable satisfiability solver
Bridging deep learning and logical reasoning using a differentiable satisfiability solver.
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".
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.
A PyTorch-Based Framework for Deep Learning in Computer Vision
A PyTorch-Based Framework for Deep Learning in Computer Vision.