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Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
Answers to 120 commonly asked data science interview questions.
π Path to a free self-taught education in Computer Science!
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Accelerated pose estimation and tracking using semi-supervised convolutional networks.
π― Curated coding interview preparation materials for busy software engineers
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
A Unified Toolkit for Deep Learning Based Document Image Analysis
Top2Vec learns jointly embedded topic, document and word vectors.
A python library for self-supervised learning on images.
A powerful and modular toolkit for record linkage and duplicate detection in Python
Transformer: PyTorch Implementation of "Attention Is All You Need"
Multilingual Sentence & Image Embeddings with BERT
A demonstration of the attention mechanism with some toy experiments and explanations.
Practice your pandas skills!
Learn to deploy real applications in a scalable way, using Amazon Web Services.
Code / solutions for Mathematics for Machine Learning (MML Book)
Lightweight Python library for adding real-time multi-object tracking to any detector.
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
YOLOv5 π in PyTorch > ONNX > CoreML > TFLite
DS 2.3: Data Science in Production
π Automatically detects and crops faces from batches of pictures.
A boilerplate for Node.js web applications
ππ π’ Comprehensive and exhaustive JavaScript & Node.js testing best practices (July 2023)
This repo contains simple machine learning examples using scikit-learn and Python.
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
Boilerplate with the purpose of creating a highly scalable NodeJS Rest API easily deployable to Heroku.