Flowerhwang

Flowerhwang

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unsupervised_videos_pytorch

Implementation of the paper Unsupervised Learning of Video Representations using LSTMs

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ClipBERT

[CVPR 2021 Best Student Paper Honorable Mention, Oral] Official PyTorch code for ClipBERT, an efficient framework for end-to-end learning on image-text and video-text tasks.

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cluster-analysis

K-Means++(HCM), Fuzzy C-Means(FCM), Hierarchical Clustering, DBscan

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Image-Caption-Joint-Embedding

A multimodal embedding of images and captions, built with PyTorch, written with Python3.

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incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

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unsupervised-videos

Unsupervised Learning of Video Representations using LSTMs

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Video-Swin-Transformer

This is an official implementation for "Video Swin Transformers".

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