[WACV 2025 Oral] Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding
PyTorch implementation for "Long Horizon Temperature Scaling", ICML 2023
Implemented GPT from scratch
WeldFusionNet , a weld defect classification project using sensor, audio, and video data, with feature pipelines, interactive analytics, and inference for manufacturing quality control (F1: 0.9567).
Newton–Puiseux for CVNNs: complete toolkit for uncertainty mining, confidence calibration and local symbolic-numeric analysis on ECG (MIT-BIH) and wireless IQ data (RadioML 2016.10A).
A library for calibrating and visualizing the Softmax function for probabilistic interpretation.
Official repository for the paper "A Real-World Evaluation of Failure Detection for Liver CT Segmentation"
Code for enhancing Conformal Prediction using Temperature Scaling. Explore more of our work at:
Calibrated lightweight chest X-ray triage for tuberculosis in resource-constrained settings. Reproducible code and reference deployment.
High-performance 9-class colorectal histopathology classifier using a domain-specific CTransPath (Swin Transformer) backbone. Evaluated on CRC-VAL-HE-7K (97.33% Acc, 0.9615 Macro F1) with post-hoc temperature calibration and Swin-adapted Grad-CAM++ explainability.
DermaSense - CNN-based skin lesion classification (HAM10000, 7 classes) with calibrated 4-model ensemble, Grad-CAM explainability, and a Flutter clinical-style UI. UTS 42028 coursework. Research/educational use only.
Official code for the TMLR 2025 paper: "On Joint Regularization and Calibration in Deep Ensembles"
Experiments with Temperature Scaling. Based on the original paper.
Advanced Deepfake image detection framework using Transfer Learning (ResNet50), optimized with TTA, architectural tuning, and confidence calibration.
Fine-Grained Image Classification of World Architecture: An EfficientNetV2 Transfer Learning Approach with Layered Regularization
Self-evaluation framework for LLM confidence calibration. Extracts True/False logits on TriviaQA; temperature scaling reduces ECE from 0.217→0.132 (Qwen-2.5-1.5B) without model modification.
Measuring and fixing DNN overconfidence on MNIST with ECE and temperature scaling.
Browser-based probability calibration lab on UCI Adult: reliability diagrams, ECE/Brier/log loss/AUC, and live temperature scaling and isotonic regression, no backend or LLM
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