sayem-eee-kuet Goto Github PK
Name: Sayem Khan
Type: User
Company: University at Buffalo--SUNY
Bio: Ph.D. Student, Computer Science and Engineering
Twitter: Sayem61
Location: Buffalo, New York
Blog: sayem-eee-kuet.github.io
Name: Sayem Khan
Type: User
Company: University at Buffalo--SUNY
Bio: Ph.D. Student, Computer Science and Engineering
Twitter: Sayem61
Location: Buffalo, New York
Blog: sayem-eee-kuet.github.io
🔬 A curated list of awesome machine learning strategies & tools in financial market.
Resources related to causality
An index of algorithms for learning causality with data
A curated list of awesome Github Profile READMEs
A collection of resources regarding the interplay between differential equations, dynamical systems, deep learning, control and optimization.
A list of awesome resources on normalizing flows.
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML
Research on Causal Image Generation
কোডিং ইন্টারভিউ বইতে আলোচিত সমস্যাগুলোর সমাধান।
This repository contains coding interviews that I have encountered in company interviews
Frequence Chaos Game Representation of DNA with Deep Learning
[ICLR'21] Counterfactual Generative Networks
counterfactuals for magnetic resonance images of multiple sclerosis
Investigate correlations between Covid-19 confirmed cases/deaths and selected social vulnerability indicators in the USA
Course notes for CS228: Probabilistic Graphical Models.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 175 universities.
Code for "Learning data-driven discretizations for partial differential equations"
Extensive tutorials for learning how to build deep learning models for causal inference using selection on observables in Tensorflow 2.
Hands-on Deep Reinforcement Learning, published by Packt
Practical assignments of the Deep|Bayes summer school 2019
Companion code for "Solving Nonlinear and High-Dimensional Partial Differential Equations via Deep Learning" by A. Al-Aradi, A. Correia, D. Naiff, G. Jardim and Y. Saporito (https://arxiv.org/abs/1811.08782)
Tutorial on a number of topics in Deep Learning
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
The basic distribution probability Tutorial for Deep Learning Researchers
legend
A repository of jupyter hub tutorials for the PIMS CRG Summer School: "Deep Learning for Computational Mathematics."
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.