A complete Apache Airflow tutorial: building data pipelines with Python
Learn about Apache Airflow and how to use it to develop, orchestrate and maintain machine learning and data pipelines
How Neural Radiance Fields (NeRF) and Instant Neural Graphics Primitives work
Explore the basic idea behind neural fields, as well as the two most promising architectures (Neural Radiance Fields (NeRF) and Instant Neural Graphics Primitives)
Vision Language models: towards multi-modal deep learning
A review of state of the art vision-language models such as CLIP, DALLE, ALIGN and SimVL
Neural Architecture Search (NAS): basic principles and different approaches
Explore what is neural architecture search, compare the most popular,SOTA methodologies and implement it with nni
Best Graph Neural Network architectures: GCN, GAT, MPNN and more
Explore the most popular gnn architectures such as gcn, gat, mpnn, graphsage and temporal graph networks
A complete Weights and Biases tutorial
Learn about the Weights and Biases library with a hands-on tutorial on the different features and visualizations.
Top Resources to start with Computer Vision and Deep Learning
A curated list of the best courses, books and blog to learn computer vision with deep learning methods
A complete Hugging Face tutorial: how to build and train a vision transformer
Learn about the Hugging Face ecosystem with a hands-on tutorial on the datasets and transformers library. Explore how to fine tune a Vision Transformer (ViT)
Regularization techniques for training deep neural networks
Discover what is regularization, why it is necessary in deep neural networks and explore the most frequently used strategies: L1, L2, dropout, stohastic depth, early stopping and more
An introduction to Recommendation Systems: an overview of machine and deep learning architectures
Learn about the SOTA recommender system models. From collaborative filtering and factorization machines to DCN and DLRM
Speech synthesis: A review of the best text to speech architectures with Deep Learning
Explore the most popular deep learning models to perform text to speech (TTS) synthesis
Tensorflow Extended (TFX) in action: build a production ready deep learning pipeline
A tutorial on how to get started with Tensorflow Extended and how to design and execute a Deep Learning pipeline
Best Resources to Learn Deep Learning Theory
A curated list of the best courses and books to learn deep learning
JAX vs Tensorflow vs Pytorch: Building a Variational Autoencoder (VAE)
A side-by-side comparison of JAX, Tensorflow and Pytorch while developing and training a Variational Autoencoder from scratch
Build a Transformer in JAX from scratch: how to write and train your own models
How to develop and train a Transformer with JAX, Haiku and Optax. Learn by example how to code Deep Learning models in JAX