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[ICCV 2019] Monocular depth estimation from a single image
The source code of CVPR 2020 paper "Multi-Scale Boosted Dehazing Network with Dense Feature Fusion"
The code for our WACV paper "A Multi-Scale Guided Cascade Hourglass Network for Depth Completion"
Park et al., Non-Local Spatial Propagation Network for Depth Completion, ECCV, 2020
Code for ICCV2021 paper "Deep Metric Learning for Open World Semantic Segmentation".
Pixel-Adaptive Convolutional Neural Networks (CVPR '19)
ICRA 2021 "Towards Precise and Efficient Image Guided Depth Completion"
Image-to-image translation with conditional adversarial nets
Synthesizing and manipulating 2048x1024 images with conditional GANs
The official PyTorch implementation for "Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End"
pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
PyTorch implementation of Pointnet2/Pointnet++
This repository is an open-source PointPainting package which is easy to understand, deploy and run!
Probabilistic Pixel-Adaptive Refinement Networks (CVPR 2020)
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
Python Image Morpher (PIM) is a program that blends images to your content!
Image-to-Image Translation in PyTorch
Feature Pyramid Networks in PyTorch
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
An easy/swift-to-adapt PyTorch-Lighting template. 套壳模板,简单易用,稍改原来Pytorch代码,即可适配Lightning。You can translate your previous Pytorch code much easier using this template, and keep your freedom to edit all the functions as well. Big-project-friendly as well.
My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.
Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.
Implementations of recent research prototypes/demonstrations using MONAI.
Reviving Iterative Training with Mask Guidance for Interactive Segmentation
Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation, CVPR 2020 (Oral)
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.