Projects using PyTorch
Projects using PyTorch
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Sanket Sabharwal, PhD
Pro
Computer Vision (Drone-led) - 3D Mapping & Reconstruction
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7
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Nikola Gojakovic
Text-to-Image Diffusion Model Training
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9
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Aaron Segiel
CIFAR-10 Image Classification with CNN
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3
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Kavit Tolia
AI Hangman Game Development
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2
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Eyad Gad
Yolov5 + Deep Sort with PyTorch
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5
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Anastasiya Kotelnikova
Spiking Neural Networks with PyTorch & Norse
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4
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Franco Mucco
Real time Segmentation
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3
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Badaruddin Chachar
Wav2Lip Video Generation Pipeline
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3
2
William Alabi
DEWSClim: A Digital Early Warning System for Farmers
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2
8
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Imran Ullah
flower classification using deep learning
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26
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zain via Replit
working on ML scalability
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10
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Karan Singh
Scientific Image Forgery Detection — Kaggle Competition Participated in the ongoing Kaggle competition on Copy-Move Forgery Detection in Scientific Images, aimed at identifying manipulated biomedical figures that can compromise research integrity. For this challenge, I developed a ResNet50 + U-Net hybrid segmentation model using PyTorch, designed to detect and segment forged regions at the pixel level. My approach combines Dice and Focal losses for balanced training, WeightedRandomSampling to oversample forged images, and Test-Time Augmentation (TTA) to improve prediction robustness. Achieved an initial score of 0.303 on the public leaderboard. I’m continuing to experiment with architecture tuning, learning rate schedules, and other loss functions to further enhance performance and generalization.
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39
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Hakan İspir
LiDAR-Based Steering Angle Prediction
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1
1
Ahmedsami
I built an AI Email Spam Classifier that filters spam automatically — so teams don’t waste time digging through junk mail. 💼 Why it matters: Keeps your inbox clean and organized Protects from phishing & spam Helps you focus on real clients and leads 🧠 Tech: Python, Scikit-learn, TF-IDF, Random Forest 👉 If your business relies on email, I can integrate a custom version to make your inbox smarter.
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115
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Anshu .K
Object Detection by DeepLearning
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7
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Mihai Avram
Leadership Analytics/AI - for ghSMART
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2
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