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Name: YiWei Chen
Type: User
Name: YiWei Chen
Type: User
CompVis Final Project (In 2-weeks) to try and identify high-quality images
code and model of Pyramid Feature Selective Network for Saliency detection
Domain-invariant Matching Space Stereo Networks (MS-Nets)
Yolo v4 (v3/v2) - Windows and Linux version of Darknet Neural Networks for object detection (Tensor Cores are used)
A wiki of DataScience, Statistics, Maths, R,Python, AI, Machine Learning, Automation, Devops Tools, Bash, Linux Tutorials, Scripts and Datasets
Code for gnerate blur image
This is the official Pytorch implementation of DCDC: https://arxiv.org/abs/2103.05484
PyTorch implementation of 'Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding' by Song Han, Huizi Mao, William J. Dally
:fire::fire: Deep Learning Head Pose Estimation using PyTorch.
Predict facial landmarks with Deep CNNs powered by Caffe.
Deep Learning Papers on Medical Image Analysis
Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.
Visualizing Deep Neural Network Decisions: Prediction Difference Analysis
DefSLAM: Tracking and Mapping of Deforming Scenes from Monocular Sequences. J.Lamarca, S. Parashar, A. Bartoli & J.M.M. Montiel
Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities.
[ECCV 2020] Reimplementation of 3DDFAv2, including face mesh, head pose, landmarks, and more.
High Quality Monocular Depth Estimation via Transfer Learning
Dense Matching Benchmark
fork from https://bitbucket.org/chhshen/depth-enhancement
Master's thesis
Blind Face Restoration via Deep Multi-scale Component Dictionaries (ECCV 2020)
Python package built to ease deep learning on graph, on top of existing DL frameworks.
This is the official implementation of "DHP: Differentiable Meta Pruning via HyperNetworks".
System for Diabetic Retinopathy classification based on an image of the human eye.
Diabetic Retinopathy: Segmentation, Grading and Localization
A hands-on introduction to video technology: image, video, codec (av1, h264, h265) and more (ffmpeg encoding).
Deep Learning GPU Training System
Official implementation of paper "Predicting Sharp and Accurate Occlusion Boundaries in Monocular Depth Estimation Using Displacement Fields" (CVPR2020)
Code release for Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation (CVPR 2020)
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
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.