Keras code and weights files for popular deep learning models.
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Updated
Jan 17, 2018 - Python
Keras code and weights files for popular deep learning models.
This repository contains ipynb files showing problem solving steps for a "Handwitten Character Recognition" problem. This was done in fulfillment of the MIDAS@IIITD Summer Internship/RA Task 2021.
PaddlePaddle image models, scripts, pretrained weights. Code was heavily based on timm.
自身の顔を登録。画像内から顔を検知し、登録された人物が存在するかを識別。複合モデルを用いた推論を構築する。
The goal of this project is to devise an accurate CNN-based classifier able to distinguish between Cat and Dog in images where the animal is predominant.
This repository contains an image classification model for the subject AI Convergence and Application held on Handong Global University (HGU)
FER and Gender Recognition.
Segmentation models with pretrained backbones. PyTorch. for Google Colab cell motility segmentation example.
A pre-trained VGG for fine-tuning and usage in other networks
Design of several classifiers to discriminate between calcification and masses, as well as, benign and malignant ones of mammography films.
The moto of the project is automate the parking system through camera .Using yolo-v5 model detect number plate and retrieve information using AWS texract.
The impact of different representations in the presence of language drift.
Implementation of object detection using yoloV3 model, keras and pretrained model's weights.
A Deep Learning based project for colorizing and restoring old images and videos!
AI Models Implementation on Tensorflow
PyTorch-based framework for high-level development of image models. Customize your model with combinations and replacement on classification / detection modules.
The tools for translate the pretrained TensorFlow model checkpoint to the torch model
Text To Motion Images With Diffusion Models
Uses a Pretrained Network (using Google's Deepmind) to generate images.
In this assignment I have to build a Mask R-CNN based keypoint detector model using Detectron2. Detectron2 was written in PyTorch and contains many state-of-the-art obejct detection models with pretrained weights.
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