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
Code for researching and backtesting pairs trading
Recipes for using Python's pandas library
Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 120+ Indicators
Technical Indicators implemented in Python using Pandas
A Python Pandas implementation of technical analysis indicators
Universal markup converter
A multi-channel neural network audio classifier using Keras
Repository for the paper "Ethnicity sensitive author disambiguation using semi-supervised learning"
Repository for the paper "Learning to Pivot with Adversarial Networks"
Paper reading in natural language processing, including dialogue system, text summarization, topic modeling, etc.
The Swiss Army Knife of Vector Graphics Scripting – Scriptographer ported to JavaScript and the browser, using HTML5 Canvas. Created by @lehni & @puckey
Recommended Papers. Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Learning (cs.LG)
Summaries of machine learning papers
:paperclip: Summaries of papers on deep learning
Papers from the computer science community to read and discuss.
A PyTorch implementation of Paragraph Vectors (doc2vec)
Generate fully parametric face images from the Basel Face Model 2017
Running parametric t-SNE by Laurens Van Der Maaten with Octave and oct2py.
Python / Tensorflow / Keras implementation of Parametric tSNE algorithm
A framework for training and evaluating AI models on a variety of openly available dialog datasets.
# ParlAI Agent examples with PyTorch, Chainer and TensorFlow
Parris, the automated infrastructure setup tool for machine learning algorithms.
RNN-based generative models for speech.
An open-source CRF Reference String Parsing Package
Code for the ICCV 2015 paper "Neural Activation Constellations: Unsupervised Part Model Discovery with Convolutional Networks."
growing interpretable part graphs on convnets via multi-shot learning, in AAAI 2017
Improving Occlusion and Hard Negative Handling for Single-Stage Object Detectors. In CVPR, 2018.
Partial Entropy Decomposition and Partial Information Decomposition with pointwise surprisal measures
A decentralized messaging and sharing app built on top of Secure Scuttlebutt (SSB).
Illustrating estimation of model evidences by nonequilibrium MCMC
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.