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cookbook

The Data Engineering Cookbook

cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

course-content-dl

NMA deep learning course

cs-phd-application-fee-waivers

Collections of CS PhD Application Fee Waivers of schools in North America

cs-video-courses

List of Computer Science courses with video lectures.

cs230-deep-learning

Coursera module of Deep Learning Course offered by Stanford.

cs294-ai-sys-sp19

CS294; AI For Systems and Systems For AI

cutie

CUTIE (TensorFlow implementation of Convolutional Universal Text Information Extrator)

cv-pretrained-model

A collection of computer vision pre-trained models.

d2l-en

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

dalle-pytorch

Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

data-science-flashcards

Data science interview questions and answers

data_efficient_masked_language_modeling_for_vision_and_language

Repository for the paper "Data Efficient Masked Language Modeling for Vision and Language".

datajob

Build and deploy a serverless data pipeline on AWS with no effort.

deep-learning-book

Deep Learning book the covers the principles of deep learning, motivation, explanations, state of the art papers for the various tasks and architectures: CNNs, object detection, semantic segmentation, generative models, denoising, super resolution, style transfer and style manipulation, inpaintig, self supervised learning, vision transformers, OCR, and multi modal. Hope that it will be useful to some of you 🙂

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deep-learning-for-hackers

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

deep-learning-in-production

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

deep-learning-papers-reading-roadmap

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

deepcourse

Learn the Deep Learning for Computer Vision in three steps: theory from base to SotA, code in PyTorch, and space-repetition with Anki

deeplearning

depth-maps-art-and-illusions

dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

doctr

docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.

doctr-trocr

endtoend ocr huggingface space

ds-career-resources

Compilation of resources and insights that helped me on my journey to data scientist

dualug

The implementation of the papers on dual learning of natural language understanding and generation. (ACL2019,2020; Findings of EMNLP 2020)

easy-tensorflow

Simple and comprehensive tutorials in TensorFlow

examples

Jina examples and demos to help you get started

failed-ml

Compilation of high-profile real-world examples of failed machine learning projects