Stars
Helps you write algorithms in PyTorch that adapt to the available (CUDA) memory
A curriculum for learning about foundation models, from scratch to the frontier
Sparse autoencoders for Contra text embedding models
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"
State-of-the-Art Text Embeddings
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)