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skbl5694's Projects

2s-agcn icon 2s-agcn

Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition in CVPR19

4d_association icon 4d_association

code for cvpr2020 "4D Association Graph for Realtime Multi-person Motion Capture Using Multiple Video Cameras"

chinese-clip icon chinese-clip

Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.

deepnude_nowatermark_withmodel icon deepnude_nowatermark_withmodel

DeepNude source code,without watermark,with demo and model download link,one command to run offline,GAN/Pytorch/pix2pix/pic2pic

dynamicgeocells icon dynamicgeocells

This package helps you building geocells automatically based on the point density of your dataset.

entity icon entity

EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation

fengshenbang-lm icon fengshenbang-lm

Fengshenbang-LM(封神榜大模型)是IDEA研究院认知计算与自然语言研究中心主导的大模型开源体系

flamingo-pytorch icon flamingo-pytorch

Implementation of 🦩 Flamingo, state-of-the-art few-shot visual question answering attention net out of Deepmind, in Pytorch

gradio icon gradio

Create UIs for your machine learning model in Python in 3 minutes

latte icon latte

The official implementation of Latte: Latent Diffusion Transformer for Video Generation.

mmaction2 icon mmaction2

OpenMMLab's Next Generation Action Understanding Toolbox and Benchmark

mmskeleton icon mmskeleton

A OpenMMLAB toolbox for human pose estimation, skeleton-based action recognition, and action synthesis.

open-sora-plan icon open-sora-plan

This project aim to reproducing Sora (Open AI T2V model), but we only have limited resource. We deeply wish the all open source community can contribute to this project.

pix2pix icon pix2pix

Image-to-image translation with conditional adversarial nets

realtime-action-recognition icon realtime-action-recognition

Apply ML to the skeletons from OpenPose; 9 actions; multiple people. (WARNING: I'm sorry that this is only good for course demo, not for real world applications !!! Those ary very difficult !!!)

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