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
These are the code snippets used in the Backtrader for backtesting guide on the AlgoTrading101 website
These are the code for the article "Backtrader for Backtesting (Python) – A Complete Guide" on AlgoTrading101's Blog. Article and code are written by Jignesh Davda.
Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB
Bagging, boosting and random forests in Matlab
This repo includes introduction, code and dataset of our paper Deep Sequence Learning with Auxiliary Information for Traffic Prediction (KDD 2018).
Code and datasets for 'Balancing information exposure in social networks'
BAyesian Model-Building Interface (BAMBI) in Python.
Bilinear attention networks for visual question answering
Python library for Multi-Armed Bandits
This repository contains data and code for our EMNLP 2018 paper "BanditSum: Extractive Summarization as a Contextual Bandit.
Strong Deep-Learning Baseline algorithms for NLP
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
An introduction series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, etc. Also support StyleGAN2, DFDNet.
Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.
Batch Renormalization algorithm implementation in Keras
Lecture notes on Bayesian deep learning
Uncertainty estimation for anchor-based deep object detectors.
Java code from the 2008 EMNLP paper "Bayesian Unsupervised Topic Segmentation" by Eisenstein and Barzilay
Bayesian Optimization using xgboost and sklearn API
Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)
Bayesian Analysis with Python by Packt
Presented at Scipy Conference 2019
A python tutorial on bayesian modeling techniques (PyMC3)
R code for Ning, B., Ghosal, S. and Thomas, J. (2017)
Building a Bayesian deep learning classifier
A Python implementation of global optimization with gaussian processes.
Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al
Code for the paper "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"
Bayesian Python: Bayesian inference tools for Python
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.