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a_oveview_of_awesome_causality_dataset

amsiwinterschool2021

awesome-ai-in-finance

🔬 A curated list of awesome machine learning strategies & tools in financial market.

awesome-causality

Resources related to causality

awesome-causality-algorithms

An index of algorithms for learning causality with data

awesome-github-profile-readme

A curated list of awesome Github Profile READMEs

awesome-neural-ode

A collection of resources regarding the interplay between differential equations, dynamical systems, deep learning, control and optimization.

awesome-normalizing-flows

A list of awesome resources on normalizing flows.

awesome-quantum-machine-learning

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

causalml

The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML

causalmodeling

Research on Causal Image Generation

codinginterviewbook

কোডিং ইন্টারভিউ বইতে আলোচিত সমস্যাগুলোর সমাধান।

codinginterviews

This repository contains coding interviews that I have encountered in company interviews

cougar-g

Frequence Chaos Game Representation of DNA with Deep Learning

counterfactual_generative_networks

[ICLR'21] Counterfactual Generative Networks

counterfactualms

counterfactuals for magnetic resonance images of multiple sclerosis

cov2-drug-discovery-demo

covid-19-usa-social-vulnerability

Investigate correlations between Covid-19 confirmed cases/deaths and selected social vulnerability indicators in the USA

cs228-notes

Course notes for CS228: Probabilistic Graphical Models.

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 175 universities.

data-driven-discretization-1d

Code for "Learning data-driven discretizations for partial differential equations"

deep-learning-for-causal-inference

Extensive tutorials for learning how to build deep learning models for causal inference using selection on observables in Tensorflow 2.

deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

deepbayes-2019

Practical assignments of the Deep|Bayes summer school 2019

deepgalerkinmethod

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)

deeplearningtutorial

Tutorial on a number of topics in Deep Learning

deeprl-tutorials

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

distribution-is-all-you-need

The basic distribution probability Tutorial for Deep Learning Researchers

dl_book

legend

dlforcompmath

A repository of jupyter hub tutorials for the PIMS CRG Summer School: "Deep Learning for Computational Mathematics."