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Getting started with JAX (MLPs, CNNs & RNNs)
Learn the building blocks of JAX and use them to build some standard Deep Learning architectures (MLP, CNN, RNN, etc.).
jax xla autograd tpu
Generate Boolean (Yes/No) Questions From Any Content
Question generation algorithm trained on the BoolQ dataset using T5 text-to-text transformer model.
question-generation transformers huggingface t5
D2l-pytorch
Reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
pytorch book d2l-ai tutorial
2020 Machine Learning Roadmap
A beginner mind map (and presentation) connecting many of the most foundational concepts in machine learning.
machine-learning data-science introduction beginner
Build your first data warehouse with Airflow on GCP
What are the steps in building a data warehouse? What cloud technology should you use? How to use Airflow to orchestrate your pipeline?
airflow google-cloud-platforms data-warehouse production
T5 fine-tuning
A colab notebook to showcase how to fine-tune T5 model on various NLP tasks (especially non text-2-text tasks with text-2-text approach)
natural-language-processing transformers text-2-text t5
ML Drawings
Rich repository of ML drawings exported to XML and PNG created using draw.io
visualizations machine-learning drawings code
NumPy Fundamentals for Data Science and Machine Learning
In-depth interactive tutorial of NumPy fundamentals for data science & machine learning. From the ndarray object to applied linear algebra. Project is 70% ...
numpy python article code
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
Tips for Successfully Training Transformers on Small Datasets
It turns out that you can easily train transformers on small datasets when you use tricks (and have the patience to train a very long time).
transformers small-datasets training ptb
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