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 guideline for building practical production-level deep learning systems to be deployed in real world applications.
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.
This repository is to do car recognition by fine-tuning ResNet-152 with Cars Dataset from Stanford.
Apache TVM (incubating) is a compiler stack for deep learning systems.
Deep Learning Framework for various Image Recognition Tasks. Photogrammetry and Robotics Lab, University of Bonn.
tinynn is a lightweight deep learning framework written in Python3 (with NumPy).
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.
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).
Timeseries clustering is an unsupervised learning task aimed to partition unlabeled timeseries objects into homogenous groups/clusters.
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.
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.
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.
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".
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 Deep Learning Case Study to detect one of the Seven Human Facial Expressions in Still Images and in Real Time.
It could be seen as a very basic example of Reinforcement Learning's application.
Gathers machine learning and deep learning models for Stock forecasting, included trading bots and simulations.
ModelChimp is an experiment tracker for Deep Learning and Machine Learning experiments.
Deep Learning cheatsheets for Stanford's CS 230
Neural Network Trained using Genetic Algorithm which acts as the brain for the snake.
ergo (from the Latin sentence "Cogito ergo sum") is a tool that makes deep learning with Keras easier.