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
XGBoost Feature Interactions Reshaped
Incubating project for xgboost operator
Pure Java implementation of XGBoost predictor for online prediction tasks.
use xgboost and lr model for text classification. xgboost is used to be a feature transform for LR
An R package that makes xgboost models fully interpretable
XLNet: Generalized Autoregressive Pretraining for Language Understanding
xmldataset: xml parsing made easy
Extreme Multi-label Text Classification
High-efficiency floating-point neural network inference operators for mobile and Web
ImageNet classification using binary Convolutional Neural Networks
C++ backend for the bqplot 2-D plotting library
C++ tensors with broadcasting and lazy computing
A high level tensorflow lib which can convert defined tf model to caffe and other engine
C++ backend for Jupyter interactive widgets
YAD2K: Yet Another Darknet 2 Keras
A powerful financial data module used for pulling data from Yahoo Finance. This module can pull fundamental and technical data for stocks, indexes, currencies, cryptos, ETFs, Mutual Funds, U.S. Treasuries, and commodity futures.
Yet Another KDD Cup 2015 Solution.
Demo on the capability of Yandex CatBoost gradient boosting classifier on a fictitious IBM HR dataset obtained from Kaggle. Data exploration, cleaning, preprocessing and model tuning are performed on the dataset
YASS: Yet Another Spike Sorter
Solution of RecSys Challenge 2015
auto-tuning momentum SGD optimizer
restaurant recommendation system using deep neural networks- yelp
How to generate realistic yelp restaurant reviews with Keras
Pytorch implementation of "Deep Learning Hierarchical Representations for Image Steganalysis"
just another weka
Yahoo! Finance market data downloader (+faster Pandas Datareader)
A Question Answering system built on top of the Apache UIMA framework.
A simple, fully convolutional model for real-time instance segmentation.
YOLO9000: Better, Faster, Stronger - Real-Time Object Detection. 9000 classes!
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.