Best Github Repositories for Data Scientist

Amazing github repositories that will help in your data science journey and will help you become data scientist

soaicbe/ai_all_resources

A curated list of Best Artificial Intelligence Resources

TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials — rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more

therealsreehari/Learn-Data-Science-For-Free

This repositary is a combination of different resources lying scattered all over the internet for data science

datastacktv/data-engineer-roadmap

Roadmap to becoming a data engineer in 2021

stanford-tensorflow-tutorials

This repository contains code examples for the Stanford’s course: TensorFlow for Deep Learning Research.

tensorflow/tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

RasaHQ/rasa

Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more — Create chatbots and voice assistants

ebhy/budgetml

Deploy a ML inference service on a budget in less than 10 lines of code.

ludwig-ai/ludwig

Ludwig is a toolbox that allows to train and evaluate deep learning models without the need to write code

khangich/machine-learning-interview

Machine Learning Interviews from FAAG, Snapchat, LinkedIn.

PyTorchLightning/pytorch-lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

Netflix/metaflow

Build and manage real-life data science projects with ease.

slundberg/shap

A game theoretic approach to explain the output of any machine learning model.

norvig/pytudes

Python programs, usually short, of considerable difficulty, to perfect particular skills.

microsoft/tensorwatch

Debugging, monitoring and visualization for Python Machine Learning and Data Science

victoresque/pytorch-template

PyTorch deep learning projects made easy.

fregu856/papers

Summaries of papers on machine learning, computer vision, autonomous robots etc.

tugstugi/dl-colab-notebooks

Try out deep learning models online on Google Colab

dennybritz/reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton’s Book and David Silver’s course.

mbadry1/DeepLearning.ai-Summary

Summaries on DeepLearning.ai specialization courses

fchollet/deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book “Deep Learning with Python”

tensorflow/models

Models and examples built with TensorFlow

sebastianruder/NLP-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

jkoutsikakis/pytorch-wrapper

Provides a systematic and extensible way to build, train, evaluate, and tune deep learning models using PyTorch

SeldonIO/seldon-core

An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models