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Image Segmentation Using Keras and W&B
This report explores semantic segmentation with a UNET like architecture in Keras and interactively visualizes the model's prediction in Weights & Biases.
semantic-segmentation kera wandb visualization
MedicalZoo PyTorch
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
medical-image-segmentation volumetric-segmentation medical-image-proccessing deep-learning
Topic Modeling with BERT
Leveraging 🤗 Transformers and a class-based TF-IDF to create dense clusters allowing for easily interpretable topics.
bert topic-modeling transformers code
GenRL is a PyTorch-First Reinforcement Learning library centered around reproducible and generalizable algorithm implementations.
reinforcement-learning pytorch deep-q-networks multi-agent-reinforcement-learning
CNN Explainer
CNN Explainer uses TensorFlow.js, an in-browser GPU-accelerated deep learning library to load the pretrained model for visualization.
convolutional-neural-networks tensorflow-js interactive interpretability
TTT: Fine-tuning Transformers with TPUs or GPUs acceleration
TTT is short for a package for fine-tuning 🤗 Transformers with TPUs, written in Tensorflow2.0+.
natural-language-processing transformers tensorflow-tpus code
Time Series Classification Using Deep Learning
In this article, I will introduce you to a new package called timeseries for fastai2 that I lately developed.
time-series fastai tutorial article
Feature Stores for ML
List of production ML groups and their open-source feature store architectures.
feature-store production industry tutorial
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