M.Faisal Hayat's Projects
Scenario Reduction(Stochastic Optimization)
This library implements several approximate scenario reduction algorithms. Given a probability distribution with finite support, they aim to determine a probability measure with support of reduced and fixed cardinality by selecting the closest to the original one in terms of a selected statistical distance.
Scenario generation methods for stochastic optimization (two-stage stochastic programming) in Java
Scenario-generation by selection from historical data
Scenario reduction algorithms for stochastic programming
Simpe Responsive Web Using Bootstrap
Adding Identity to ASP.NET Core
A unified framework for machine learning with time series
A PyTorch-based Speech Toolkit
Spotify Clone Using React
Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
A Django Web Application
Source code for Twitter's Recommendation Algorithm
Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019
A repository for common torch models
[CVPR-2023] Towards Any Structural Pruning; LLMs / Diffusion / YOLOv8 / CNNs / Transformers
[TPAMI 2022 & CVPR2021 Oral] UP-DETR: Unsupervised Pre-training for Object Detection with Transformers
A Comprehensive Archive and an eXplainable Time Series Generation Framework for Energy (NeurIPS 2023)