Video Classification 3d Cnn Pytorch
kenshohara
Video classification tools using 3D ResNet
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Results: 37
kenshohara
Video classification tools using 3D ResNet
Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.
yongzhuo
中文长文本分类、短句子分类、多标签分类、两句子相似度(Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short),字词句向量嵌入层(embeddings)和网络层(graph)构建基类,FastT…
qqlu
EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation
jacobgil
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
BrikerMan
Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Lang…
borisdj
Entity Framework EF Core efcore Bulk Batch Extensions with BulkCopy in .Net for Insert Update Delete Read (CRUD), Truncate and SaveChanges operations on SQL Server, Post…
WenjieDu
A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific an…
axa-group
An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more
npgsql
Entity Framework Core provider for PostgreSQL
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
dineug
Entity-Relationship Diagram Editor
firecrawl
Fast Rust library for PDF inspection, classification, and text extraction. Intelligently detects scanned vs text-based PDFs to enable smart routing decisions.
johannfaouzi
A Python package for time series classification
Franck-Dernoncourt
Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.
zubair-trabzada
Schema.org structured data audit and generation optimized for AI discoverability — detect, validate, and generate JSON-LD markup