An HR predictive analytics tool for forecasting the likely range of a worker’s future job performance using multiple ANNs with custom loss functions.

Inverse Supervised Learning

A new loss proposed that are sensitive towards image corruption and high information to noise trade off

Adversarial Focal Loss: Asking Your Discriminator for Hard Examples.

A codebase for a traffic optimization research project.

A neat, lightweight and single neuron perceptron written in C++ from scratch without any external library, trained using the perceptron trick and loss function

Alternative loss function of binary cross entropy and focal loss

Toolbox of analysis for the related paper. /!\ In progress

📄 Official implementation regarding the paper "Programmatically Evolving Losses in Machine Learning".

Approximation of the chamfer distance

Directional Distance Field for Modeling the Difference between 3D Point Clouds

This Repository contains material to learn about machine learning algorithms concepts along with implementation. This also provides you the material to prepare yourself for interviews.

Deep Learning Loss Functions

performing linear regression

Supervised Sliding Window Smoothing Loss Function Based on MS-TCN for Video Segmentation

Evolutionary search for survival analysis loss function for neural networks

Stock Trend Prediction App: In these project I created stock trend web application to predicted continuous real time trend of desired stock input taken from user with fetching data from "Yahoo Finance".

Generating a TensorFlow model that predicts values in a sinewave

[CVPR 2024] Adaptive Multi-Modal Cross-Entropy Loss for Stereo Matching

Official PyTorch implementation for "PROPEL: Probabilistic Parametric Regression Loss for Convolutional Neural Networks"