Library for fastest pinned CPU GPU Pytorch transfer
A PyTorch implementation of RetinaFace: Single-stage Dense Face Localisation in the Wild. Model size only 1.7M, when Retinaface use mobilenet0.25 as backbone net.
There are 2 data files that you need to consider: data.npy and sentences.txt.
Here is my python source code for AirGesture - Play games without touching keyboard.
DeepPrivacy is a fully automatic anonymization technique for images.
AtSNE is a solution of high-dimensional data visualization problem.
Skull stripping and brain tissue segmentation.
This repository contains datasets for multi-object representation learning, used in developing scene decomposition methods like MONet and IODINE.
A python and shell script to set the wallpaper to a wordcloud of the most trending google searches.
Supporting Information for the paper "Deep learning enables rapid identification of potent DDR1 kinase inhibitors".
Pytorch implementation of the paper Class-Balanced Loss Based on Effective Number of Samples presented at CVPR'19.
Black is the uncompromising Python code formatter. By using it, you agree to cede control over minutiae of hand-formatting.
A Doom-like game engine that renders to ascii and outputs to terminal!
Open-Source Flask app enhanced with SQLite database, authentication, SQLAlchemy ORM and a beautiful UI - Paper Kit Design by Creative-Tim.
we propose a novel idea called Fair Neural Architecture Search (FairNAS), in which a strict fairness constraint is enforced for fair inheritance and training.
The Satellite Imagery Multiscale Rapid Detection with Windowed Networks (SIMRDWN) codebase combines some of the leading object detection algorithms into a unified framework designed to detect objects both large and small in overhead imagery.
Plumb a PDF for detailed information about each text character, rectangle, and line. Plus: Table extraction and visual debugging.
learn2learn is a PyTorch library for meta-learning implementations.
The Biopython Project is an international association of developers of freely available Python tools for computational molecular biology.
Few-Shot Object Detection Dataset (FSOD) is a high-diverse dataset specifically designed for few-shot object detection and intrinsically designed to evaluate thegenerality of a model on novel categories.
This project is based on maskrcnn-benchmark. Rotation NMS layers were based on RRPN.
Behind the scenes, it feeds the webcam stream to a neural network (YOLO darknet) and make sense of the generated detections.
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).
PyDriller is a Python framework that helps developers in analyzing Git repositories.
File Tree View as side bar tool.