Generative Ai
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Анонсы интересных библиотек и принтов в сфере AI, Ml, CV для тех кто занимается DataScience, Generative Ai, LLM, LangChain, ChatGPT По рекламе писать @miralinka, Created by @life2film
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+887 дней
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Архив постов
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FACE DETECTION BY LITERATURE
Обзор и бенчмарки различных методов детектирования лиц
#facedetection #cv
http://www.erogol.com/face-detection-networks-literature/
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Temporal Activity Detection in Untrimmed Videos with Recurrent Neural Networks
This project is a baseline in the activity classification and its temporal location, focused on the ActivityNet Challenge. Here is detailed all the process of our proposed pipeline, as well the trained models and the utility to classify and temporally localize activities on new videos given. All the steps have been detailed, from downloading the dataset, to predicting the temporal locations going through the feature extraction and also the training.
https://imatge-upc.github.io/activitynet-2016-cvprw/
https://github.com/imatge-upc/activitynet-2016-cvprw
https://www.youtube.com/watch?v=3G-Vdmsluw0
#keras #video #activity #cvprw
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Книга: Scott Krig - Computer Vision Metrics
Survey, Taxonomy and Analysis of Computer Vision, Visual Neuroscience, and Deep Learning
#books #cv
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LSTMVis - Visual Analysis for Recurrent Neural Networks
LSTMVis a visual analysis tool for recurrent neural networks with a focus on understanding these hidden state dynamics. The tool allows a user to select a hypothesis input range to focus on local state changes, to match these states changes to similar patterns in a large data set, and to align these results with structural annotations from their domain. We provide data for the tool to analyze specific hidden state properties on dataset containing nesting, phrase structure, and chord progressions, and demonstrate how the tool can be used to isolate patterns for further statistical analysis.
http://lstm.seas.harvard.edu/
3 679
seq2seq Чатботы
Ссылки на реализаций нейронных разговорных моделей для различных фрейморков.
#chatbot #seq2seq
3 679
Визуализации: кто такой Data Scientist и классификация алгоритмов Машинного Обучения.
Уже доступно! Исследование Telegram 2025 — ключевые инсайты года 
