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
UnFlow: Unsupervised Learning of Optical Flow with a Bidirectional Census Loss
Official codes for the paper: A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss.
UniLM - Unified Language Model Pre-training
The recommender system behind GroupStreamer.
Simple Tensorflow implementation of "Unsupervised Image to Image Translation Networks" (NIPS 2017 Spotlight)
Code release for Universal Domain Adaptation(CVPR 2019)
The source code of NIPS17 'Universal Style Transfer via Feature Transforms'.
Reinforcement learning with unsupervised auxiliary tasks
Unrolled Generative Adversarial Networks
[CVPR 2017] Unsupervised deep learning using unlabelled videos on the web
Unsupervised Learning of Video Representations using LSTMs
Code for our CVPR 2016 paper "Unsupervised Learning of Edges"
Phrase-Based & Neural Unsupervised Machine Translation
Official code repository for the paper "Unite the People – Closing the Loop Between 3D and 2D Human Representations".
Caffe implementation of paper: "Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering"
Automatic image captioning model based on Caffe, using features from bottom-up attention.
Flutter Plugin to do UPI transaction using different apps like PhonePe, Google Pay, PayTM etc.
UPSNet: A Unified Panoptic Segmentation Network
Course materials, Jupyter notebooks, tutorials, guides, and demos for a Python-based urban data science course.
Urban Sound Classification: With Random Forest, SVM, DNN, RNN, and CNN Classifiers
Machine learning to classify Malicious (Spam)/Benign URL's
Extend urllib2 to support HTTP POST file upload
Repository for URLnet
Utilizing machine learning algorithms to predict various features of Facebook users such as gender, age and personality traits on the Big Five Personality Model. Age and gender prediction is treated as a classification task while personality prediction is treated as a regression task. Many machine learning algorithms like naive bayes, perceptron, linear regression and random forest were used to construct an ensemble framework which gave 70% accuracy.
Code for the EACL paper "Using the Output Embedding to Improve Language Models" by Ofir Press and Lior Wolf
Soft attention mechanism for video caption generation
Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.
Unsupervised clustering with (Gaussian mixture) VAEs
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.