18 September 2019 GPU transfer than regular Pytorch Pinned CPU tensors can and 110x faster GPU Library for fastest pinned CPU GPU Pytorch transfer
18 September 2019 RetinaFace: Single-stage Dense Face Localisation in the Wild 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.
18 September 2019 Generating Sequences With Recurrent Neural Networks There are 2 data files that you need to consider: data.npy and sentences.txt.
17 September 2019 Play games without touching keyboard Here is my python source code for AirGesture - Play games without touching keyboard.
17 September 2019 A fully automatic anonymization technique for images DeepPrivacy is a fully automatic anonymization technique for images.
15 September 2019 Skull stripping and brain tissue segmentation Skull stripping and brain tissue segmentation.
15 September 2019 Generative Tensorial Reinforcement Learning (GENTRL) model Supporting Information for the paper "Deep learning enables rapid identification of potent DDR1 kinase inhibitors".
15 September 2019 Class-Balanced Loss Based on Effective Number of Samples Pytorch implementation of the paper Class-Balanced Loss Based on Effective Number of Samples presented at CVPR'19.
15 September 2019 The uncompromising Python code formatter Black is the uncompromising Python code formatter. By using it, you agree to cede control over minutiae of hand-formatting.
14 September 2019 Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search we propose a novel idea called Fair Neural Architecture Search (FairNAS), in which a strict fairness constraint is enforced for fair inheritance and training.
14 September 2019 Rapid satellite imagery object detection 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.
14 September 2019 PyTorch Meta-learning Framework for Researchers learn2learn is a PyTorch library for meta-learning implementations.
14 September 2019 A high-diverse dataset specifically designed for few-shot object detectio 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.
14 September 2019 Rotated Mask R-CNN: From Bounding Boxes to Rotated Bounding Boxes This project is based on maskrcnn-benchmark. Rotation NMS layers were based on RRPN.
14 September 2019 An open source tool to quantify the world Behind the scenes, it feeds the webcam stream to a neural network (YOLO darknet) and make sense of the generated detections.
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).
14 September 2019 Deep Hough Voting for 3D Object Detection in Point Clouds Deep Hough Voting for 3D Object Detection in Point Clouds.
09 September 2019 Learnable Gated Temporal Shift Module for Deep Video Inpainting Official Pytorch implementation of "Learnable Gated Temporal Shift Module for Deep Video Inpainting. Chang et al. BMVC 2019."
09 September 2019 Tools for training explainable models using attribution priors A repository for training explainable models using attribution priors.
08 September 2019 Training-Time-Friendly Network for Real-Time Object Detection The code for implementing the TTFNet.
08 September 2019 The basic distribution probability Tutorial for Deep Learning Researchers distribution-is-all-you-need is the basic distribution probability tutorial for most common distribution focused on Deep learning using python library.
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 Motion Planner for Self Driving Cars The goal of this project will be to have a functional motion planning stack that can avoid both static and dynamic obstacles while tracking the center line of a lane, while also handling stop signs.
06 September 2019 Document Classification and Post-OCR Key Value Extraction This sample shows how to extract key-value pairs from multiple templates using Document Classification and Key-Value Extraction.