shubhampachori12110095 Goto Github PK
Name: Shubham Pachori
Type: User
Bio: Learning to extract signal from noise.
Location: Somewhere in India
Name: Shubham Pachori
Type: User
Bio: Learning to extract signal from noise.
Location: Somewhere in India
Code for Deformation Dictionaries CVPR 2014 paper
Deformable Convolution in TensorFlow / Keras
Deformable Convolutional Networks
Deformable Convolutional Networks on caffe
PyTorch implementation of Deformable Convolution
an end to end dehaze tools
It understands your voice commands, searches news and knowledge sources, and summarizes and reads out content to you.
This project is an implementation of the Generative Adversarial Network proposed in our CVPR 2017 paper - DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data. DeLiGAN is a simple but effective modification of the GAN framework and aims to improve performance on datasets which are diverse yet small in size.
Calculate SimRank for a Networkx graph using the Delta Simrank method within MapReduce framework
A curated, quasi-exhaustive list of state-of-the-art publications and resources about Generative Adversarial Networks (GANs) and their applications.
NAACL 2019 paper: Density Matching for Bilingual Word Embedding (Zhou et al., 2019)
A collection of ThinkScript technical indicators for the stock market (ThinkorSwim platform)
Improved Fusion of Visual and Language Representations by Dense Symmetric Co-Attention for Visual Question Answering
DenseAlert: Incremental Dense-SubTensor Detection in Tensor Streams (KDD'17)
Dense image captioning in Torch
High Quality Monocular Depth Estimation via Transfer Learning
Cleaned code for paper "Natural Language Inference over Interaction Space"
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
DenseNet implementation in Keras
DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet
DenseNet Implementation in Keras with ImageNet Pretrained Models
A PyTorch implementation of DenseNet.
Caffe code for Densely Connected Convolutional Networks (DenseNets)
A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body
3D hand pose estimation via dense regression
Evaluation code for Dense-Captioning Events in Videos
Clustering by fast search and find of density peaks
Depth-aware CNN for RGB-D Segmentation, ECCV 2018
A tool to predict the depth field of a 2-dimensional image
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.