AI Agent Skills

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (ad…

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

Techniques for deep learning with satellite & aerial imagery

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.

Deep Learning Server and CLI for Torch and TensorRT

Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

An Engine-Agnostic Deep Learning Framework in Java

Deep Learning for humans

The fastai deep learning library

Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.

Caffe: a fast open framework for deep learning.

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumP…

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Camb…

Deep universal probabilistic programming with Python and PyTorch