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100-days-of-ml-code

A day to day plan for this challenge. Covers both theoritical and practical aspects

ai-resources

Selection of resources to learn Artificial Intelligence / Machine Learning / Deep Learning

aiif

Jupyter Notebooks and code for the book Artificial Intelligence in Finance (O'Reilly) by Yves Hilpisch.

analytics-zoo

Distributed Tensorflow, Keras and BigDL on Apache Spark

ann_classification

Classification using ANN

artificial-intelligence-deep-learning-machine-learning-tutorials

A comprehensive list of Deep Learning, Machine Learning and Artificial Intelligence tutorials - initially originally created by Donne Martin and will be expanded in areas of AI/Deep Learning / Machine Vision and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until atleast 2020 until he finishes his PhD!

arxiv-sanity-preserver

Web interface for browsing, search and filtering recent arxiv submissions

awesome

:sunglasses: Curated list of awesome lists

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

awesome-public-datasets

A topic-centric list of high-quality open datasets in public domains. Propose NEW data ☛☛☛PR☛☛☛

awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

awesome-text-summarization

A curated list of resources dedicated to text summarization

awesome-text-summarization-1

The guide to tackle with the Text Summarization

azure-sample-chat

An easy Python example to chat with Azure OpenAI Service

benchmarks

Competition Benchmarks

big_data

bigdl

BigDL: Distributed Deep Learning Library for Apache Spark

bitcoin-whitepaper-exercises

blankly

🚀 💸 Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.

blockchain-developer-bootcamp-final-project

blockchainbootcamp

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

clickmodels

ClickModels is a small set of Python scripts for the user click models initially developed at Yandex. A Click Model is a probabilistic graphical model used to predict search engine click data from past observations. This project is aimed to deal with click models used in Information Retrieval (see next README.md) and intended to be easy-to-read and easy-to-modify. If it's not, please let me know how to improve it :)

ctci-6th-edition-python

Cracking the Coding Interview 6th Ed. Python Solutions

data-x

This repository is for the Data-X project materials

datascience_challange

data science projects

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!