A website which helps user how much profit or loss he/she is making in percentage & absolute value.

Short initial exploration into deep learning and associated evaluation.

Time series model for predicting the stock price using LSTM. The dataset includes the closing price of the stock.

In this project we created a Generative adversal neural network that can generate hand written numbers based on the Minst data set.

Detecting weather a given image of an X-ray scan of lungs has pneumonia or not using convolutional neural networks and deep learning.

Lauren has a chart of distinct projected prices for a house over the next several years. She must buy the house in one year and sell it in another, and she must do so at a loss. She wants to minimize her financial loss.

Tensorflow Implementation of Focal Frequency Loss for Image Reconstruction and Synthesis [ICCV 2021]

Code for the methods and algorithms described in the paper "Fuzzy Information Discrimination Measures and Their Application to Low Dimensional Embedding Construction in the UMAP Algorithm"

pytorch Lib for learning

Artificial Intelligence Projects (Pytorch, TorchVision, CUDA, AWS)

Notes on implementation part of Cross Entropy Loss

3D Loss Landscapes of SoftNet (Sparse Subnetwork)

In a virtual painting task, participants indicated which surface ridges appeared to be caused by the hidden object and which were due to the drapery. The goal of this project was to implement the paper and offer insights into whether a Deep Neural Network (DNN) can outperform humans in producing results.

OCR Recognition via custom trained Tesseract

Class library for actuarial claims reserving and tariff rating for non-life insurances

The original PyTorch implementation of the "EXACT: How Train Your Accuracy"

Fast and differentiable MS-SSIM and SSIM for Paddle.

The purpose of this report is to identify the most appropriate model to forecast future unemployment rate in the US using the historical data. We present an in-depth study of the forecasts for the monthly U.S. unemployment rate using various time series models and comparing them to further our understanding of the strengths and deficiencies of t…