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django

The Web framework for perfectionists with deadlines.

django-ninja

💨 Fast, Async-ready, Openapi, type hints based framework for building APIs

djangoblog

Blog with Django

djangowebapp

A simple web app that accepts uploads as posts..

dl-assignments

Deep Learning 2018/2019 - MSc Artificial Intelligence @ UvA

dm-competition-getting-started

数据挖掘竞赛(Kaggle,Data Castle,Analytics Vidhya,DrivenData)入门实践

dm_control

DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

dnanlp

Python codes and Jupyter Notebooks for the Dow Jones DNA NLP applied research paper.

docker-curriculum

:dolphin: A comprehensive tutorial on getting started with Docker!

dogcat_keras

test

ds-assets

ds_projects_courses

duplicatequestions__recognition

I have build a LSTM Model using Trax which can identify the Duplicate Questions or Similar Questions which is useful when we have to work with several versions of the same Questions.

dutta-sd

Public Profile README.md file

dx

DX Analytics | Financial and Derivatives Analytics with Python

econml

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

edinburgh

Sample work from the MSc in Artificial Intelligence program at the University of Edinburgh

educational

educative.io_courses

this is downloadings of all educative.io free student subscription courses as pdf from GitHub student pack

eecs-491

Materials and projects for EECS 491 AI: Probablistic Graphical Models

eikondataapi

elitequant

A list of online resources for quantitative modeling, trading, portfolio management

energy

R scripts for energy analytics

ensemble-learning

Ensemble Methods for Machine Learning

erum2020program

e-Rum2020 program and materials

eth-cs-notes

Lecture notes and cheatsheets for Master's in Computer Science at ETH Zurich

etlinsurance

ETL for Insurance Agencies

event-transcripts

transcripts from our recorded events

every-programmer-should-know

A collection of (mostly) technical things every software developer should know

explore-flask

Source of Explore Flask book