Developed end-to-end app to generate cartoons image description
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Updated
Jun 8, 2024 - Jupyter Notebook
Developed end-to-end app to generate cartoons image description
🤘 TT-NN operator library, and TT-Metalium low level kernel programming model.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
This is a multi-task neural network that utilizes the GELAN backbone and ViT encoder to perform multiple tasks, maximizing multi-class classification performance.
A summative coursework for CSC8635 Machine Learning with Project
Assignment submission for CV703 course (Visual Recognition and Object Detection) @ MBZUAI
Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.
Final project for 6.8301 - Computer Vision (spring 2024)
A toolbox of vision models and algorithms based on MindSpore
VGAResNet: A Unified Visibility Graph Adjacency Matrix-Based Residual Network for Chronic Obstructive Pulmonary Disease Detection Using Lung Sounds
Implementation of popular deep learning networks with TensorRT network definition API
Minerva project includes the minerva package that aids in the fitting and testing of neural network models. Includes pre and post-processing of land cover data. Designed for use with torchgeo datasets.
Using ResNet, accurately detect tea plant diseases, improving agricultural management and enhancing plant health with advanced technology.
A lightweight and extensible toolbox for image classification
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
[WACV 2024 Oral] - ARNIQA: Learning Distortion Manifold for Image Quality Assessment
Visual Domain Adaptation For Classification Task
PyTorch implementations of recent Computer Vision tricks (ReXNet, RepVGG, Unet3p, YOLOv4, CIoU loss, AdaBelief, PolyLoss, MobileOne)
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