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