sethupavan12/DynaLib-Extraction

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Created over 2 years ago
Updated over 2 years ago

sethupavan12/DynaLib-Extraction

sethupavan12

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Create a Dynamic Lib and Extract functions from Dynamic lib dynamically at runtime

COVID19-prediction-with-CNN

Predicting Coronavirus using CNN with X Rays( 200) using transfer learning. used VGG16 model.

Jupyter Notebook

FaceDetection-with-Webcam

Using pretrained MTCNN and openCV the face is captured and feeded to Neural Network in real-time.

Jupyter Notebook

Facedetection-using-MTCNN

Implementation of face detection using pre trained Multi-tasked Cascaded Convolutional Neural Networks(MTCNN) by @ipazc. It is based on the paper Zhang, K et al. (2016) [ZHANG2016]

Jupyter Notebook

Handwritten-digits-detection-with-CNN

The Repo contains a ipynb Jupyter notebook file which is created using Convolutional Neural Networks(CNN) whose task is to detect Handwritten digits with help of MNIST dataset.

Jupyter Notebook

IP-Tracker

Dumbify

Dumbify is a Text Conversion Platform which can do really intresting things using OpenAI's API

sample_project_matlab

Image-Classification-using-CIFAR-10

Implementation of a Convolutional Neural Network Image classifier using CIFAR-10 dataset

Jupyter Notebook

sethupavan12

nabeelomer

Breast-Cancer-prediction-using-SVM

Implementation of Support Vector Machines (SVM) to predict Breast Cancer(Malignant or Benign) using Breast Cancer dataset with 30 features.

Jupyter Notebook

Image-Encryptron

LinearRegrssion-Diabetes

Jupyter Notebook