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
This repository contains Python-based tools for Computational Finance. It is related to the Computational Finance blog run by Stuart Reid (www.stuartreid.co.za/blog).
A Pytorch Implementation for Compact Bilinear Pooling.
Compare six baseline deep learning models on TrecQA
my foray into the world of competitive programming
A collection of resources for Recommender Systems (RecSys)
CompILE: Compositional Imitation Learning and Execution (ICML 2019)
This repo will contain the backend code and the Ui of the flutter ecommerce app
Improving Knowledge Graph Embedding Using Simple Constraints (ACL-2108)
Hierarchical Temporal Memory in Clojure
Implementation of modular composition network from https://arxiv.org/pdf/1711.11289.pdf
Generates video game music using neural networks.
CompPhys - a Computational Physics repository
compsim is a library for matching 2 company names
This is my work of the subject Computational Finance which includes Asian Options, Brownian Motion and Geometric Brownian Motion for stock modeling, European Options, Euler Method for stock pricing and many more.
Computational Finance: option-pricing and risk-management models
Computational Investing
Code for the MSc Finance course "Computational Finance" at U Amsterdam
Computer vision sabbatical study materials
Full tutorial of computer vision and machine learning basics with OpenCV and Keras in Python.
C/C++/Python based computer vision models using OpenPose, OpenCV, DLIB, Keras and Tensorflow libraries. Object Detection, Tracking, Face Recognition, Gesture, Emotion and Posture Recognition
Code for the paper Mining Evidences for Concept Stock Recommendation,
Train a Word2Vec model and Implement Conceptual Search\Semantic Search in Solr\Lucene - Simon Hughes Dice.com, Dice Tech Jobs
Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832
CondenseNet: An Efficient DenseNet using Learned Group Convolutions
tensorflow implementation of CondenseNet: An Efficient DenseNet using Learned Group Convolutions
Pytorch implementation of NIPS 2017 paper "Modulating early visual processing by language"
An efficient character based RNN
Keras implementation of the conditional GAN.
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.