Escape142
Follow
Stars
Recommender Systems course for MIPT IDA 4th-year students
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
Алгоритмы и структуры данных. Собираю задачи из Яндекса, Тинькофф, LeetCode, Codewars и др.
Fast and customizable framework for automatic ML model creation (AutoML)
Free hands-on course about Graph Neural Networks using PyTorch Geometric.
SeqNAS: Neural Architecture Search Library for Event Sequence Classification
Generative AI on AWS
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan…
This repository contains machine learning models for estimating cropland types (irrigated, non-irrigated, no crop) to assess climate change impact on agricultural land suitability across various ca…
A link to frameworks useful for the evaluation and reproducibility of recorecommendation algorithms
A simple way to calibrate your neural network.
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Flexible components pairing 🤗 Transformers with ⚡ Pytorch Lightning
Multi Comparison Matrix: A long term approach to benchmark evaluations
Public facing notes page
An end-to-end implementation of intent prediction with Metaflow and other cool tools
OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms
Official code for "DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation" (TPAMI2022) and "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair…
Best Practices on Recommendation Systems
Coursera Specialization: Machine Learning and Data Analysis (Yandex & MIPT)