Showing 30 of 448 · Category: Deep Learning
Python projects for stock market analysis and prediction using machine learning, deep learning, and NLP.
Explainable AI for diabetic retinopathy screening: EfficientNet-B0 transfer learning with Grad-CAM++ heat-maps, calibrated confidence and referral decisions (QWK 0.93), served via FastAPI + Next.js.
Real-time computer vision system for industrial safety compliance. Features automated PPE detection, fire & smoke hazard tracking, multi-object tracking, and alert management via FastAPI.
PyTorch implementation of Fashion-MNIST classification with WideResNet-28-10, data augmentation, TTA inference and visual error analysis.
Top Computer Vision Object Detection (Opensource) Star if you like it!
GPT-2 Small trained from scratch on 10B FineWeb tokens, with distributed PyTorch training, held-out evaluations, and detailed training visualizations.
Real-time machine learning system forecasting major (M/X class) solar flares within 24 hours using NASA SDO SHARP magnetic parameters and NOAA GOES X-ray data. Benchmarked via True Skill Statistic (TSS = 0.650) with interactive live space-weather dashboard.
PyTorch implementation of SMCF-Net for bi-temporal SAR flood segmentation, with training code, configurations, and dataset splits.
RealWaste üzerinde MobileNetV2 ile dokuz sınıflı atık görüntüsü sınıflandırması; Streamlit, Colab ve hata analizi
Comparative tea leaf disease classification using VGG16, LBP, GLCM, HSV, and SVM, evaluated on internal and external image datasets.
Automated Pneumonia Detection from Chest X-Rays using InceptionV3 Transfer Learning | 91.83% Accuracy & 98.0% Clinical Recall
Preview of the AIMLab website. Official site: https://ai-in-medicine-lab.github.io/
🧠 The Complete, Production-Grade LLM Encyclopedia: Transformer Architectures, 3D Parallelism, Post-Training RL (GRPO/PPO), Synthetic Data, MoE, and 30+ Landmark Research Papers.
Deterministic, sub-microsecond bare-metal neural compute engine in #![no_std] Rust booting directly from UEFI.
IPython - Neural Gesture Analysis with Webcam-based User-input Recognition.
Prédiction du salaire annuel d’un développeur à partir de ses compétences et caractéristiques professionnelles (Stack Overflow 2018) : nettoyage, EDA, feature engineering, comparaison de modèles ML (Régression Linéaire, Random Forest, XGBoost, TensorFlow), sélection du meilleur modèle, API REST Flask et interface React interactive.
Hybrid intrusion detection system combining Random Forest and CNN-LSTM models with a Flask dashboard and forensic logging.
Proyek ini merupakan sistem pemantauan dan penghitungan kendaraan (motor) parkir otomatis berbasis YOLOv8 dan metode Line Crossing yang dilengkapi dengan fitur deteksi cahaya rendah.
InfraPulse — A unified multimodal AI framework for predictive health monitoring of railway tracks, bridges, and dams using deep learning, anomaly detection, risk assessment, and intelligent infrastructure analytics.
Русские переводы открытых книг по воплощённому ИИ и робототехнике: Embodied AI (Datawhale), Dive into Deep Learning, Physical AI Systems. Онлайн-версия на mdBook.
Top Deep Learning Frameworks (Opensource) Star if you like it!
Multimodal clinical decision support platform: image, symptom and voice intake, two-stage MobileNet + ViT pipeline, and consent gated LangGraph agents for patients and doctors.
A curated catalog of AI learning resources — courses and the papers, books and docs that go with them — grouped by skill.
MCP server for AI mammogram triage: prioritizes BI-RADS 4-5 cases so women reach a radiologist in time. Research tool, not a medical device.
Deep Learning Based Low Light Image & Video Enhancement
An end-to-end deep learning framework for multi-class classification and pathology localization of dental OPG radiographs using transfer learning and Grad-CAM.
Human activity recognition from WISDM smartphone accelerometer data using a Conv1D-LSTM neural network in Keras.
PACE-Net: Point-Aware Conditional Enhancement Network for Radio Map Reconstruction from Sparse Observations
GreenLens: plant disease classification (38 classes) on PlantVillage with EfficientNet transfer learning (99.39% test accuracy) and an in-browser website
A multi-scale spiking neural network framework modeling human sleep disorders, circadian regulation, neural dynamics, and perceived restedness through biophysical simulations.