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Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors
This is the official code release for “M2SVid: End-to-End Inpainting and Refinement for Monocular-to-Stereo Video Conversion”. 3DV 2026
Official implementation of "Unbiasing through Textual Descriptions: Mitigating Representation Bias in Video Benchmarks." CVPR 2025
This is the official implementation of "Perceptual Image Anomaly Detection" (PIAD). ACPR 2019
Official implementation of "Learning by Sorting: Self-supervised Learning with Group Ordering Constraints." ICCV 2023
Medical Out-of-Distribution Analysis Challenge MICCAI 2020 Solution
Official implementation of "Anomaly Detection with Deep Perceptual Autoencoders." IEEE Access 2021
Official implementation of "HowToCaption: Prompting LLMs to Transform Video Annotations at Scale." ECCV 2024
Official implementation of "Everything at Once - Multi-modal Fusion Transformer for Video Retrieval." CVPR 2022
A presentation explaining how Einsum could be understood and implemented.
Edit and review GitHub issues and pull requests from the comfort of your favorite editor
This dataset contains 108,463 human-labeled and 656k noisily labeled pairs that feature the importance of modeling structure, context, and word order information for the problem of paraphrase ident…
A telegram bot powered by ChatGPT, that helps you to learn a new language.
YTsaurus is a scalable and fault-tolerant open-source big data platform.
💬 Telegram bot with ChatGPT & Claude Python-based, using OpenAI's API.
The WeightWatcher tool for predicting the accuracy of Deep Neural Networks
Interesting resources related to XAI (Explainable Artificial Intelligence)
moDel Agnostic Language for Exploration and eXplanation
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
Algorithms for explaining machine learning models
Docker image with uWSGI and Nginx for Flask applications in Python running in a single container.
A lightweight implementation of removal-based explanations for ML models.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
A community-maintained Python framework for creating mathematical animations.