My Deep Learning Projects

Classification

Endoscopy Image Classification w/Swin Transformer (F1 Score: 0.87)

Crop Disease Classification w/Feature Fusion (EfficientNet, MobileNet) (F1 Score: 0.8)

30 Plants Detection w/Custom ConvMixer based CNN (F1 Score: 0.77)

Bladder Tissue Classification w/ViT (F1 Score: 0.82)

Blood Cells Classification w/Custom ConvMixer based CNN (F1 Score: 0.98)

Brain Tumor Classification (Normal, Glioma, Meningioma, Pituitary) (Test ACC: 86.27 %)

Car Model and Color Multiclass Classification (F1 Score: 0.74)

Dental X-Rays Classification w/TPU (F1 Score: 0.72)

The Fashion Mnist Distributed DL Example (Mirrored Strategy) (Test ACC: 88.35 %)

Down Syndrome Detection w/CNN (Test AUC Score: 0.87)

Earthquake Events Classification (Mojor Event/Non-Major Event) (Test ACC: 64 %)

Fungus Detection w/10 Kfold CV Custom ConvMixer (F1 Score: 0.85)

Hieroglyph Multiclass Classification DenseNet (F1 Score: 0.85)

Higgs/Background Process Classification w/CNN using TPU (AUC Score: 0.83)

Jellyfish Classification (10KFold CV w/Custom ConvMixer) (F1 Score: 0.87)

MRI Sequence (T1, T2, T1 C+) Classification w/Custom CNN

Normal heartbeat/Myocardial Infarction Classification (ROC AUC Score: 0.842)

Pneumonia Detection w/Ensemble DL (Test AUC Score: 0.91)

Zipper Defect Classification (AUC Score: 0.98)

Glaucoma Classification w/ViT (F1 Score: 0.91)

Chest X-Ray Classification w/ViT (F1 Score: 0.9)

Document Classification w/ViT

(76 GB) 160 Polish Bird Sounds Classification

Rice Classification w/Custom ResNet50 (ACC 85%)

Maize Classification w/Custom ResNet18 (AUC Score: 0.98)

Sport Scene Classification w/ViT (3 KFold CV)

Segmentation

Brain tissue segmentation with U-net using TPU (Val Dice Coef: 0.88)

Brain tumor/anomaly segmentation with U-net using TPU

Asphalt Pavement Crack Segmentation U-Net

Eye Conjunctiva Segmentation with U-Net using TPU (Dice : 0.91, Jaccard : 0.82)

Iris Segmentation U-net w/TPU (Dice : 0.94, Jaccard : 0.88)

Particle Segmentation Custom DeepLabv3+ (Dice : 0.93, Jaccard : 0.88)

Retina Vessel Segmentation U-net w/TPU (Dice : 0.75)

Lung Segmentation UNet w/SeparableConv (Dice : 0.93)

Segmentation Medical Instrument w/Custom DeepLabv3+ (Dice : 0.86)

Tomato Segmentation w/detectron2 (mask AP: 61.94)

Brain Tumor Segmentation w/detectron2 (mAP@50:76.2)

Road Segmentation w/DeepLabv3+ from Scratch

Segmenting HuTu Cells DeepLabv3+ (Test Dice: 0.93)

Object Detection

Damaged Lamp Detection w/detectron2 (Faster R-CNN)

Plate Detection w/detectron2 (mAP@75: 89.19)

Tomato Detection w/detectron2 (mAP@50: 82.02)

Tiny Vehicle Detection w/detectron2 (mAP@50: 32.08)

Traffic Signs Detect w/detectron2 (mAP@50: 71.62)

Sign Detection w/Keras YOLO V8

Road Mark Detection (ResNet-50, ResNeXt 101 FPNs)

Bone Fracture Detection (ResNet-50, ResNeXt 101 FPNs)

Acne Detection w/Keras YOLO V8

Brain Tumor Detection w/Keras YOLO V8

Natural Language Processing

PaliGemma 3B for License Plate OCR

arXiv Articles Multi Label Classification w/FNet

IEEE Research Papers Topic Modelling w/LDA

Depressive vs Non-depressive Tweet w/Custom FNet (F1 Score: 0.88)

Yelp Review Stars Prediction (Classification) w/Gemma 7B (LoRA)

BBC News Topic Modeling w/LDA

Manufacturing Question-Answer w/Gemma 7B (Fine-Tuning LoRA) (Cosine Sim: 0.83)

Graph to Table w/Google's DePlot Model

Disease Article Topic Modelling w/BERTopic

Spam vs Ham Message w/ Gemma 7B Fine-Tuning (LoRA)

News Zero-Shot Topic Modelling w/BERTopic

Social Media Post Multiclass Classification w/DistilBERT

Gemma 2B Text Summarization w/Zero-Shot Prompting

Rating Prediction w/SentenceTransformer, CatBoost (MAE: 0.381)

Spam vs Ham Message Classification w/Custom FNet (F1 Score: 0.92)

Sentiment Analysis w/CatBoostClassifier (F1 Score: 0.703)

Complaint Analysis w/Ensemble Model (CatBoost, LR) (F1 Score: 0.86)

News Analysis w/Tensorflow (DistilBERT fine-tuning) (F1 Score: 0.89)

Emotion Classification w/LogisticRegression

Spam Mail Detection w/Tensorflow (DistilBERT fine-tuning) (F1 Score: 0.92)

Other Deep Learning Projects (Anomaly Detection, Image Captioning, Multiple Instance Learning etc.)

PaliGemma 3B for Image Captioning

Ford Motor Data Anomaly Detection with AutoEncoder

Satellite Image Captioning (ViT, Bi-LSTMs)

Molecule Activity, Deep Multiple Instance Learning

Cloud Classification (Involution Neural Network)

Car Detect w/Deep Multiple Instance Learning

Ford Motor Data Anomaly Detection with AutoEncoder

Satellite Image Captioning (ViT, Bi-LSTMs)

Molecule Activity, Deep Multiple Instance Learning

Cloud Classification (Involution Neural Network)

Car Detect w/Deep Multiple Instance Learning

Happy Detection w/Deep Multiple Instance Learning