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
Module for automatic summarization of text documents and HTML pages.
PyTorch Implementation of Stacked U-Nets (SUNets)
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
Code for our CVPR 2018 paper "Learning Latent Super-Events to Detect Multiple Activities in Videos"
An implementation of SRGAN model in Keras
Benchmark and resources for single super-resolution algorithms
Code for "Autoencoder as Assistant Supervisor: Improving Text Representation for Chinese Social Media Text Summarization"
supercell
A student implementation of Alpha Go Zero
An extensive evaluation and comparison of 28 state-of-the-art superpixel algorithms on 5 datasets.
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
Python class for doing supervised clustering. By default uses random forest and correlation clusterer
Implementation of Supervised embedding models from [Learning End-to-End Goal-Oriented Dialog] paper.
Code for the paper "On First-Order Meta-Learning Algorithms"
Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors
Optimal facility location (Set Cover problem); setup costs and changeover times (traveling salesman problem) ; production and transportation optimization; LP; MIP; GUROBI 7.5.2 Python API
Beer Delivery Game
Statistical Inference for Random Forests
A Python scikit for building and analyzing recommender systems
Learning from Synthetic Humans, CVPR 2017
Svelte component for rendering the TradingView Advanced Real-Time Chart Widget
Deep-digit-detector (and recognizer) in natural scene. A digit detection framework was implemented using keras with tensorflow backend.
Stochastic Vehicle Routing Problem
Code Repo for "Single View Stereo Matching" (CVPR'18 Spotlight)
Implementation of the Sliced Wasserstein Autoencoders
Codes for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".
Swift Core ML 3 implementation of BERT for Question answering
Python Swing Trading
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.