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30-days-of-interview-preparation-of-data-science

Hello everyone! 😃 This series will be based on Data Science interview questions for becoming a data scientist. Please do follow the regular Data Science interview questions for the coming 30 days. #day1 Let's Learn Together.😃😃 Hoping for the best outcome and needful for all the enthusiasts of data science.

a-pytorch-tutorial-to-image-captioning

Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning

a-pytorch-tutorial-to-object-detection

SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

a-pytorch-tutorial-to-sequence-labeling

Empower Sequence Labeling with Task-Aware Neural Language Model | a PyTorch Tutorial to Sequence Labeling

attentiondeepmil

Implementation of Attention-based Deep Multiple Instance Learning in PyTorch

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-data-annotation

A list of tools for annotating data, managing annotations, etc.

awesome-datascience

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

awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

awesome-python-scripts

A Curated list of Awesome Python Scripts that Automate Stuffs.

awesome-visual-transformer

Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

caffenet-benchmark

Evaluation of the CNN design choices performance on ImageNet-2012.

cat_dog

chatbot-transformer

Building a Chatbot in PyTorch using Transformers

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

code_snippets

coding-interview-university

A complete computer science study plan to become a software engineer.

complete-guide-to-deep-learning

This guide is for those who know some math, know some programming language and now want to dive deep into deep learning

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

cv

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

deep-learning-papers-reading-roadmap

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

deep-tutorials-for-pytorch

In-depth tutorials for implementing deep learning models on your own with PyTorch.

deep_vision_and_graphics

Course about deep learning for computer vision and graphics co-developed by YSDA and Skoltech.

deepface

A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

deepfacelab

DeepFaceLab is the leading software for creating deepfakes.

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

detectron2

Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.