Topic: "binary-crossentropy"
fcakyon/balanced-loss
Easy to use class balanced cross entropy and focal loss implementation for Pytorch
Language: Python - Size: 30.3 KB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 96 - Forks: 8

NinaadRao/Multilabel-Image-Classification-using-Contractive-Autoencoder
Implementing contractive auto encoder for encoding cloud images and using that encoding for multi label image classification
Language: Jupyter Notebook - Size: 17.8 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 10 - Forks: 4

vishal815/Customer-Churn-Prediction-using-Artificial-Neural-Network
This project involves building an Artificial Neural Network (ANN) for predicting customer churn. The dataset used contains various customer attributes, and the ANN is trained to predict whether a customer is likely to leave the bank.
Language: Jupyter Notebook - Size: 313 KB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 1

anwai98/Loss-Functions
Different Loss Function Implementations in PyTorch and Keras
Language: Jupyter Notebook - Size: 10.7 KB - Last synced at: 9 months ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 1

khuyentran1401/MNIST-gradient-descent
Implementation of gradient descent from scratch with binary cross entrophy loss
Language: Jupyter Notebook - Size: 15.2 MB - Last synced at: about 2 months ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 1

parham1998/CNN_Image_Annotaion
Implementation of some basic Image Annotation methods (using various loss functions & threshold optimization) on Corel-5k dataset with PyTorch library
Language: Python - Size: 152 KB - Last synced at: 5 months ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

Jonas1312/mse-for-binary-classification
What Happens if We Use a Mean Squared Error Loss for Binary Classification?
Size: 288 KB - Last synced at: 8 days ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

0xN1nja/Spam-Ham-Classification-Using-TensorFlow-NLP
NLP Model for Spam/Ham Mail Classification
Language: Jupyter Notebook - Size: 37.9 MB - Last synced at: 2 months ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

dmazilkin/ML-LogisticRegression
Logistic Regression from scratch.
Language: Python - Size: 8.79 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

blleshi/Neural_Network_Binary_Classification
Venture Funding with Deep Learning (Neural Network Binary Classification)
Language: Jupyter Notebook - Size: 278 KB - Last synced at: 5 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

daramdhanush/Hotel-Review-Classification
Train a model using LSTM(Long short-term memory) to classify whether hotel reviews are positive or negative
Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

inzapp/absolute-logarithmic-error
Alternative loss function of binary cross entropy and focal loss
Language: Python - Size: 18.6 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

srushtii-m/Natural-Language-Processing-with-Disaster-Tweets
Predict which Tweets are about real disasters and which ones are not Microsoft DeBERTa
Language: Jupyter Notebook - Size: 36.1 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

lawl2/object-detection-and-spatial-relation
Language: Python - Size: 3.17 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

1391819/artGAN
A Generative Adversarial Network for the generation of new synthetic art.
Language: Jupyter Notebook - Size: 28 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

imane-ayouni/Offensive-Language-Detection-using-Backpropagation
Simple neural network to detect offensive language usage
Language: Jupyter Notebook - Size: 60.5 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

leonrenn/MINING-GOLD-FROM-GENERATORS
Mining gold from implicit models to improve likelihood-free inference, example for ROLR and RASCAL.
Language: Jupyter Notebook - Size: 446 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

vincentpun123/Credit-Risk-Assessment
Utilize autoencoders for anomaly detection and customer credit risk evaluation
Language: HTML - Size: 1.07 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

coder-backend/Predict-Job-Title-and-skills
Job Prediction given job description and skills
Language: Jupyter Notebook - Size: 324 KB - Last synced at: 7 months ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
