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
ProGAN package implemented as an extension of PyTorch nn.Module
PyTorch inference for "Progressive Growing of GANs" with CelebA snapshot
Implementation of Progressive Neural Architecture Search in Keras and Tensorflow
Implementation of SIGGRAPH 2019 paper: Progressive Embedding
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Embedding Projection for Knowledge Graph Completion
Curated list of project-based tutorials
Creating a tunable and explainable recommendation system
⛑ AiAi.care code-charity aims to reduce Tuberculosis and Lung Cancer screening time by 90%, reduce screening cost by 90%, and improve survival probability by 5X 🚀 through early detection. We are using Machine Learning + 250,000 Chest X-Rays to build an FDA 💊 approved, open-source screening CAD (Computer Aided Detection) tool. After an MRMC clinical trial, AiAi CAD will be distributed for free to developing countries (Vietnam, India, Belarus), charitable hospitals, and organizations like WHO 🌏
Toolkit for collecting and applying prompts
A general-purpose network embedding framework: pair-wise representations optimization Network
PROP: Pre-training with Representative Words Prediction for Ad-hoc Retrieval
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Financial markets analysis framework for programmers
Code for EMNLP20 paper: "ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training"
PropsDE is a tool to transform German sentences into proposition structures and to extract Open IE tuples from them.
NCI-ISBI 2013 Challenge - Automated Segmentation of Prostate Structures
Code for the NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch
Proximal Asynchronous SAGA
Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps
Parsing Reading Predict Network
PSANet: Point-wise Spatial Attention Network for Scene Parsing, ECCV2018.
A pytorch re-implementation of PSENet: Shape Robust Text Detection with Progressive Scale Expansion Network
pytorch version of pseudo-3d-residual-networks(P-3D), pretrained model is supported
A neural network quantum ground state solver
Pyramid Stereo Matching Network (CVPR2018)
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.