Effortless data labeling with AI support from Segment Anything and other awesome models.
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Updated
Jul 1, 2024 - Python
Effortless data labeling with AI support from Segment Anything and other awesome models.
TrackNet for badminton tracking using tensorflow2
Scripts, figures, and working notes for the participation in ImageCLEFmedical GANs task, part of the 14th CLEF Conference, 2023.
🤘 TT-NN operator library, and TT-Metalium low level kernel programming model.
Scripts and figures as a part of an ongoing research initiative for Advancing Hepatocellular Carcinoma Staging and Prognosis
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
PyTorch implementations of recent Computer Vision tricks (ReXNet, RepVGG, Unet3p, YOLOv4, CIoU loss, AdaBelief, PolyLoss, MobileOne)
Pipeline meant to segment and classify organoids, or any other blob-like structures (star-convex polygons). Microscopy images can be easily annotated in QuPath and automatically processed afterwards to count the class distribution within each image using this pipeline (TIF files will be converted to grayscale)
[WACV 2024 Oral] - ARNIQA: Learning Distortion Manifold for Image Quality Assessment
带你从零实现一个高性能的深度学习推理库,支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step
PaddlePaddle End-to-End Development Toolkit(飞桨低代码开发工具)
Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project
Collision Avoidance Strategies with Jetracer Pro AI Kit
Run Image Classification on Apple Silicon (Mac)
Python toolkit for speech processing
A toolbox of vision models and algorithms based on MindSpore
A Residual Network Design with less than 5 million trainable parameters achieving an accuracy of 96.04% on CIFAR-10.
OpenMMLab Pre-training Toolbox and Benchmark
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