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
Seed, Expand, Constrain: Three Principles for Weakly-Supervised Image Segmentation
SeCNN: A Semantic CNN Parser for Code Comment Generation
Here we explore and build an unsupervised deep belief network with the goal of becoming a commercially viable extractive text summarization tool.
deep learning based speech enhancement using keras python, make it easy to use
Code for the AAAI 2018 publication "SEE: Towards Semi-Supervised End-to-End Scene Text Recognition"
The Tensorflow implementation of SEENet (BMVC2019)
Demo code of the paper: "Learning to Segment Instances in Videos with Spatial Propagation Network", in CVPR'17 Workshop on DAVIS Challenge
Code release for Hu et al., Learning to Segment Every Thing. in CVPR, 2018.
Code Related to "Per-Pixel Feedback for improving Semantic Segmentation", My dissertation submission.
Speech Enhancement Generative Adversarial Network in TensorFlow
Segmentation-Aware Convolutional Networks Using Local Attention Masks
Detecting text by linking segments.
Javascript library for rapid A/B-testing with Sequential Generalized Likelihood Ratio tests
TensorFlow implementation of ENet, trained on the Cityscapes dataset.
DilatedNet in Keras for image segmentation
Segmentation models with pretrained backbones. PyTorch.
Predicting Deeper into the Future of Semantic Segmentation
SegNet implemetation using PyTorch
Supervised Evaluation of Image Segmentation Methods
Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation (CVPR 2019 Oral)
code for the ICML paper "SelectiveNet - A Deep Neural Network with an Integrated Reject Option"
document classification using LSTM + self attention
Simple Tensorflow implementation of "Self-Attention Generative Adversarial Networks" (SAGAN)
Simple Tensorflow Implementation of "A Structured Self-attentive Sentence Embedding" (ICLR 2017)
Constituency Parsing with a Self-Attentive Encoder (ACL 2018)
Unofficial pytorch implementation for Self-critical Sequence Training for Image Captioning
Implementing a self driving car using a 3D Driving Simulator. CNN will be used for training
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.