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
Short Term Trading Strategy developed using technical Indicators like RSI-MACD-ADX-Bollinger Bands and study the effect of Broad Market Directional filter for the same
Generative Handwriting using LSTM Mixture Density Network with TensorFlow
Weakly supervised detection
Weakly Supervised Deep Detection Networks (CVPR 2016)
wta hash function for torch
A collection of surprising Python snippets and lesser-known features.
Released code for the paper: Where To Look: Focus Regions for Visual Question Answering. (CVPR2016)
WTTE-RNN a framework for churn and time to event prediction
Simulation code for the WWW 2022 paper, Adaptive Experimentation with Delayed Binary Feedback
X-BERT: eXtreme Multi-label Text Classification with BERT
An industrial deep learning framework for high-dimension sparse data
Light-Head RCNN and One Novel Object Detector
X-Transformer: Taming Pretrained Transformers for eXtreme Multi-label Text Classification
C++ implementation of the Jupyter kernel protocol
C++ Jupyter Kernel
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
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.