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boston-housing-with-streamlit

checkpoint

Model checkpointing and early stopping with Pytorch and Tensorflow

densely-connected-convolutional-networks

deploy-yolov8-model-in-different-modules

Using Yolov8 models directly with other modules is somewhat problematic. Tried with modules like Tensorflow, TensorRT, TFlite, ONNXRuntime.

deploy-yolov8-with-tensorrt

Usage Yolov8 models with TensorRT

easy-appeal

Text classification with Nvidia Nemo.

four-keras-datasets

Classification models with common Keras datasets.

googlenet

model-quantization

Quantize all type of Yolov8 model, such as Pytorch(.pt), TensorRT(.engine), ONNX(onnx) models.

new-framework-with-python

predict-network-bandwidth-with-lstm

resnet50

seatbelt-classification

Seatbelt classification with Tensorflow and Pytorch.

smart-audience

Project controls the audience in a university, school or office. It can process information about whether pupil, student or employee in the audience are at work, how long they have worked, their age and gender.

tensorflow-datasets

Train classification models with only Tensorflow without Keras. Datasets were taken from tensorflow datasets.

text-corrector-with-kenlm

Text corrector with Kenlm language model algorithm.

vgg-architectures

yolov8-to-gcp

This repository shows how to deploy Yolov8 object detection to the Google cloud platform.

yolov8-with-tfserving

Face detection using the Yolov8 model with TFserving