bharat3012/Pytorch-Cat-Dog-Classifier

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Rank 3,293,967 (Top 66 %)
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Python
Created about 6 years ago
Updated over 4 years ago

bharat3012/Pytorch-Cat-Dog-Classifier

bharat3012

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Implemented in Python 3.6 on Pytorch, trained the network(Resnet) on 4000 images of Cats/Dogs with different hyperparameter sets and obtained a validation set accuracy on 1000 images of 87%. with Transfer-Learning on a pre-trained Resnet-50 architecture on ImageNet, accuracy increased to 96%.

Machine-Translation-French-to-English

French to English Translation

Google-Cloud-An-Easy-Way-to-an-Amazing-Platform

Best descripted way to use your google cloud account for free free free :)

Attention_LadderNet

Effective 2D Pancreas CT Scan Segmentation

Pytorch_CV_Lab

Pytorch Performace Tuning, WandB, AMP, Multi-GPU, TensorRT, Triton

Jupyter Notebook

Its-DNA-Classification

End to end simplest model for dna random embedding and cnn based classification in keras with tensorflow backend.

MNIST_PyTorch-Lightning-Ignite

MNIST Digit Classification in PyTorch, Lightning & Ignite

Word-Representation-Vector-Space

Jupyter Notebook

Bharat_CV1

An academic Curriculum Vitae format for students with the source code in LATEX.

Professional_CV

Professional level CV made in Latex of BHARAT GIDWANI

Bio-Segmentation

Easy Medical Image Conversion

Finger-Reader-Vision-to-Speech-Perception.ai-

Finger-reader: Vision to Speech Library for Visually Impaired

Expermentations_with_XOR_NNs

Deep-Dilated-V-Net-for-3D-Volume-Segmentation-of-Pancreas-in-CT-images

3D Pancrease Volume Segmentation using state-of-the-art DDV-Net model.

Human_Safety_MyYOLOv3

YOLOv3 for Object detection a PyTorch Implementation

Kaggle-Titanic-Survival-Prediction-using-Machine-Learning

Kaggle Competition : https://www.kaggle.com/c/titanic

Fake_Faces_DCGAN_GDPP_LOSS

DCGAN + GDPP Loss for Fake Face Generation on Celeb A Dataset

Portfoliox

My Portfolio/Resume

Movie-Review

Source code for pretrained moview review data set for and applying transfer learning on MR dataset available in Pytorch library.

Object_Dtection-YOLO

This is a Kera/Tensorflow implementation.

Simplest-NN

Simplest nn to take input X=(4,3) and output =(4,1) using a sigmoid function.

Eigen-Vectors-based-Rotation-Invariant-Multi-Object-Deep-Detector

Rotated object detection using YOLOv3-CNN Object Detector without training with augmented images.

Tensorflow-LSTM_Rnn-MNIST

Prediction of Hand written pictures ( MNIST dataset ) using RNN models ( LSTM ) in Tensorflow.