🤘 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), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

Fruit Recognition using CNN and Pre-trained Models (ResNet, VGG16, VGG19, Inception): A comprehensive deep learning project showcasing multiple approaches for classifying fruit images using custom CNN and state-of-the-art pre-trained models.

AI-Powered Brain Stroke Segmentation using U-Net with ResNet Encoder | SMTE 2024 Project

Effortless data labeling with AI support from Segment Anything and other awesome models.

This is an empirical study on the working of different Deep Learning Models on Skin Disease Classification on Dermascopic images. It studies the working of models like CNN, ResNet, DenseNet, MobileNet, and, tells which model is better without hyperparameter tuning. the dataset used is from Kaggle.

Mambular is a Python package that brings the power of Mamba architectures to tabular data, offering a suite of deep learning models for regression, classification, and distributional regression tasks. This includes models like Mambular, FT-Transformer, TabTransformer and tabular ResNets.

校招、秋招、春招、实习好项目！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

Build Model Covid-19 Xray using CNN & Transfer learning

PyTorch implementations of recent Computer Vision tricks (ReXNet, RepVGG, Unet3p, YOLOv4, CIoU loss, AdaBelief, PolyLoss, MobileOne). Other additions: AdEMAMix

🧬📈Predict protein subcellular localization from its sequence using deep learning models⚛️🔍

Based on Baidu's Edge Board, Accelerate Resnet model inference using NPU.

Research and Production Oriented Speaker Verification, Recognition and Diarization Toolkit

Master's Thesis Project. Image Enhancement Using ResNet Networks

Made for a 24 hrs hackathon

Implementation of popular deep learning networks with TensorRT network definition API

Python toolkit for speech processing

The project aims to develop a reliable method for detecting COVID-19 in patients by analyzing chest X-rays. Developing Deep Learning systems for detecting COVID-19 in patients using three CNN architectures on a Chest Radiography dataset and applying GRADCAM to detect COVID-19-affected areas in the lungs.

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.

Cataract detection model