Showing 30 of 446 · Category: Deep Learning
How a CNN works, step by step: one MRI image through convolution, ReLU, pooling and softmax, built from scratch in NumPy
共享编码器多任务模型:木材年轮提取+缺陷检测+缺陷实例分类(ResNet34+FPN)。基于 UruDendro、VSB-TUO、VNWoodKnot 等公开数据集训练(Marichal 2025 / Kodytek 2021 等论文)
A free open-source 5D chess engine.
Offline Windows desktop CW decoder built on e04's DeepCW neural engine: multi-signal decoding, CAT rig control, WSJT-X UDP, bilingual UI.
🧠 AI-powered study monitoring system that detects drowsiness & phone distraction using Mediapipe + YOLOv8. Real-time alarm to keep students focused. Built with Python, OpenCV, Deep Learning.
Maiorana 2021 任务无关 EEG 生物特征认证复现 (通道独立孪生 CNN, PyTorch)
FreshLens — Modular EfficientNet-B0 fruit freshness classification with open-set rejection, reproducible training/evaluation, and Streamlit inference.
Video-based prediction of clonic seizure onset. Official implementation of "SOTERIA: Video-based Seizure Prediction", ICIIBMS 2026.
Neural networks that learn to play osu! like a human from top players' replays: TCN-WGAN cursor model, key press decoding, osu!lazer playback, bilingual paper
Triton Kernel Tutorials for low level LLM optimization
Fast, accurate streaming of training data from cloud storage for PyTorch. Community-maintained fork of MosaicML Streaming.
IntelX: Autonomous Indoor Exploration method that predicts coverage gain heatmap with one lightweight U-Net and plans on the direction candidates it reveals. Achieves 10-20% shorter paths than the closest baselines on Test and OOD maps.
把深度学习网络变成论文图:可视化搭建、张量尺寸推导、公式与参数检查、SVG/PNG 导出。Local-first neural network architecture editor for research figures.
Autonomous AI/ML research digest. Curates top breakthrough papers from arXiv & HuggingFace daily with "Why It Matters" executive summaries via Groq LLMs.
Deep learning-based Remaining Useful Life (RUL) prediction for turbofan engines using multivariate sensor time-series data and LSTM networks.
Benchmarking CNN and Transformer models for cross-geographic flood segmentation from Sentinel-1 SAR imagery (Sen1Floods11). MSc dissertation, University of Hull.
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.
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/
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.
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.
A collection of Deep Learning concepts, implementations, experiments, and projects progressing from neural network fundamentals to advanced architectures using Python, Tensorflow, Keras and Scikit-Learn.
Polarimetric Denoising Diffusion Network (PDDN) -- diffusion-based denoising and generative synthesis for Mueller polarimetric intensity images
Master's thesis research on car detection using YOLOv8 under different rainy weather conditions.