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
Dataset for NAACL 2021 paper: "QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization"
A fast and differentiable QP solver for PyTorch.
QQBot: A conversation robot base on Tencent's SmartQQ
Query-Reduction Networks
Quasi-recurrent Neural Networks for Keras
QuantStart Forex Backtesting and Live Trading
QuantStart.com - QSTrader backtesting simulation engine.
QTPyLib, Pythonic Algorithmic Trading
Algorithmic Trading using Q-Learning and Recurrent Reinforcement Learning
Co-domain Embedding using Deep Quadruplet Networks for Unseen Traffic Sign Recognition (AAAI 2018)
Implementation of QuadSketch algorithm
Python quantitative trading strategies including MACD, Pair Trading, Heikin-Ashi, London Breakout, Awesome, Dual Thrust, Parabolic SAR, Bollinger Bands, RSI, Pattern Recognition
Basic python libraries for building technical indicators and trading signals
QUANTAXIS 支持任务调度 分布式部署的 股票/期货/期权/港股/虚拟货币 数据/回测/模拟/交易/可视化/多账户 纯本地量化解决方案
Quantile Regression DQN a Minimal Working Example
Python Implementation of Quantile Random Forest Regression
Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"
Character-level Neural Translation using Quasi-RNNs
Proposes neural networks that can generate animation of virtual characters for different actions.
Self-similar visualization of many-body wavefunctions (and also: time series, DNA, proteins).
Neural Network Many-Body Wavefunction Reconstruction
Codes and experimental evaluation of KDR model for KDD 2018
Analyzed a corpus containing 30 .txt files and retrieved the most relevant document for a given query.
Code and demos for our paper at ACM MM 2017
Exploration of various deep neural networks for Question Answering and Reading Comprehension
TensorFlow implementation of Match-LSTM and Answer pointer for the popular SQuAD dataset.
针对百度知道电影问答数据的问题分类 question classification for zhidao.baidu.com in movie domain
Given a sentence automatically generate reading comprehension style factual questions from that sentence, such that the sentence contains answers to those questions.
This repo collects and re-produces models related to domains of question answering and machine reading comprehension
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.