PyTorch implementation of the U-Net for image semantic segmentation with high quality images

🌀 𝗧𝗵𝗲 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝟳-𝗦𝘁𝗲𝗽𝘀 𝗠𝗟𝗢𝗽𝘀 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 | 𝗟𝗲𝗮𝗿𝗻 𝗠𝗟𝗘 & 𝗠𝗟𝗢𝗽𝘀 for free by designing, building and deploying an end-to-end ML batch system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 2.5 𝘩𝘰𝘶𝘳𝘴 𝘰𝘧 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 & 𝘷𝘪𝘥𝘦𝘰 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴

Train a state-of-the-art yolov3 object detector from scratch!

Generic template to bootstrap your PyTorch project.

A convenient way to trigger synchronizations to wandb / Weights & Biases if your compute nodes don't have internet!

A clean and structured implementation of Transformer with wandb and pytorch-lightning

Deep Learning Framework for Image Classification & Regression in Pytorch for Fast Experiments

PyTorch Lightning Implementation of Diffusion, GAN, VAE, Flow models

This repository focuses on training semantic segmentation models to predict the presence of floodwater for disaster prevention. Models were trained using SageMaker and Colab.

Example codes in the medium post titled "Optuna meets Weights and Biases."

Deep learning based color transfer between images.

Tiny ResNet inspired FPN network (<2M params) for Rotated Object Detection using 5-parameter Modulated Rotation Loss

MLOps Implementing "Brain Computer Interface" on Kubernetes

Order execution in the financial markets using Deep Reinforcement Learning.

Python framework for artificial text detection: NLP approaches to compare natural text against generated by neural networks.

🕵️🤖 Monitoring a PyTorch Lightning CNN with Weights & Biases

Training a racecar with W&B!

Bees CNN Algorithm (A Fuzzy Evolutionary Deep Learning)

Which LLMs can a dentist trust? A reproducible benchmark of language models on clinical dental knowledge, with clinician-verified rubrics across 6 domains. Part of Periospot.

AI Engineering: Annotated NBs to dive into Self-Attention, In-Context Learning, RAG, Knowledge-Graphs, Fine-Tuning, Model Optimization, and many more.