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datasets

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

datasharing

The Leek group guide to data sharing

datasource

A library of code for parsing (mostly biomedical) data source files and converting their contents to RDF

dataverse

Open source research data repository software

dataverse-metrics

Aggregate and visualize metrics for installations of Dataverse around the world

dataverse.harvard.edu

Custom Code for dataverse.harvard.edu and an issue tracker for the IQSS Dataverse Team's Operational Work, for better tracking on https://github.com/orgs/IQSS/projects/2

dbt

dbt (data build tool) enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.

decision

Powered by Spark Streaming & Siddhi

dedupe

:id: A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.

deep-quant

Deep learning on company fundamental data for long-term investing

deep-stock

Deep Learning for Stock Market

deep-trading

Algorithmic trading with deep learning experiments

deep_portfolio

deep_trader

This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to read tape. The project is dedicated to hero in life great Jesse Livermore.

deepmind-alphafold-repl

https://moalquraishi.wordpress.com/2018/12/09/alphafold-casp13-what-just-happened/

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

deeppath

code and docs for my EMNLP paper "DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning"

deeppurpose

A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)

deequ

Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.

delta

An open-source storage layer that brings scalable, ACID transactions to Apache Spark™ and big data workloads.

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dgl-ke

High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.

did_imputation

Event studies: robust and efficient estimation, testing, and plotting

dig-etl-engine

Download DIG to run on your laptop or server.

dig-wikifier

dmptool

DMPTool version of the DMPRoadmap codebase

dnabert

DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome

dnn-quant

Tool for building deep / recurrent neural network models for systematic fundamental investing.

docker-python

Kaggle Python docker image

docsite