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Source code and models of GALD net :tada:
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection
Code and manuscript for "Efficient Per-Example Gradient Computations in Convolutional Neural Networks"
Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow.
Gated-Shape CNN for Semantic Segmentation (ICCV 2019)
[ICCV 2019] Harmonious Bottleneck on Two Orthogonal Dimensions
Document Scanning With TensorFlow And OpenCV
PyTorch implementations of recent Computer Vision tricks
Implementation of "Harmonizing Transferability and Discriminability for Adapting Object Detectors" (CVPR 2020)
paper implement
PyTorch implementation of our ICCV 2019 paper: Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis
A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"
Code for ICCV2019 paper "InstaBoost: Boosting Instance Segmentation Via Probability Map Guided Copy-Pasting"
An iOS application of Tensorflow Object Detection with different models: SSD with Mobilenet, SSD with InceptionV2, Faster-RCNN-resnet101
The First Place Solution of iMaterialist (Fashion) 2019 at FGVC6
Knowledge distillation methods implemented with Tensorflow (now there are 11 (+1) methods, and will be added more.)
Learning What and Where to Transfer (ICML 2019)
Label Refinery: Improving ImageNet Classification through Label Progression
Official Implementation of ICML 2019 Unsupervised label noise modeling and loss correction
NVDLA is an Open source DL/ML accelerator, which is very suitable for individuals or college students. This is the NOTES when I learn and try. Hope THIS PAGE may Helps you a bit.
This is an unofficial implemention of LEDNet https://arxiv.org/abs/1905.02423
MNN Implementation of the paper of LFFD: A Light and Fast Face Detector for Edge Devices
LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)
PyTorch implementation of "Lookahead: A Far-sighted Alternative of Magnitude-based Pruning" (ICLR 2020)
LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
Localize and identify multiple objects in a single image.
MediaPipe is a cross-platform framework for building multimodal applied machine learning pipelines
PyTorch Framework for Developing Memory Efficient Deep Invertible Networks
NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.