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Learn CPython internals by customizing the interpreter.
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
A playbook for systematically maximizing the performance of deep learning models.
Notes talking about the design and implementation of Apache Spark
A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Automated modeling and machine learning framework FEDOT
Выжимка полезных моментов из обсуждений в ods.ai
Source code to reproduce experiments from the article Practitioner’s Guide to Statistical Tests
Sample .NET Core REST API CQRS implementation with raw SQL and DDD using Clean Architecture.
A graph-based functional API for building complex scikit-learn pipelines.
🌎 machine learning tutorials (mainly in Python3)
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
STUMPY is a powerful and scalable Python library for modern time series analysis
SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection
The official code repository for examples in the O'Reilly book 'Generative Deep Learning'
Курс "Прикладные задачи анализа данных" (ВМК, МГУ имени М.В. Ломоносова)
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course