Neural networks training pipeline based on PyTorch

My repo for training neural nets using pytorch-lightning and hydra

Curriculum training

Deep Learning training and deployment pipeline, reduce repetitive work from research to deployment

Training an image classification model with CIFAR-10 dataset

Machine Learning in Production

PyTorch detailed analysis to create Machine learning to Deep learning model

AI Message Labels: Packaging and pipelines for deep learning text classification models

YOLOv12 Underwater Object Detection is an open-source suite for underwater object detection, built on YOLOv12. It offers an end-to-end pipeline with GPU-accelerated training, customizable data augmentations, real-time inference via Gradio, and support for model export (ONNX & PyTorch).

YoloLint is a tool for automatic validation of dataset structure, annotation files, and image sizes in YOLO projects. It helps you catch typical errors in directory structure, YAML files, annotation files, and now also ensures all your images have the correct size before you start model training.

Configurable PyTorch training pipeline

🧠 Deep-Learning Evolution: Unified collection of TensorFlow & PyTorch projects, featuring custom CUDA kernels, distributed training, memory‑efficient methods, and production‑ready pipelines. Showcases advanced GPU optimizations, from foundational models to cutting‑edge architectures. 🚀

tracebloc notebook to launch and manage experiments in collaboration

end to end classification project , to check whether chicken is healthy or affeccted with coccidiosis based on chicken fecal image collected , Model used - VGG16

Collection of Jupyter notebooks and python code files explaining the essentials of Pytorch.