htaj22

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

allennlp

An open-source NLP research library, built on PyTorch.

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

trax

Trax — Deep Learning with Clear Code and Speed

handson-ml3

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Data-Analysis

Data Science Using Python

gt-nlp-class

Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"

pml-book

"Probabilistic Machine Learning" - a book series by Kevin Murphy

GraphSAGE

Representation learning on large graphs using stochastic graph convolutions.

t5x

bilm-tf

Tensorflow implementation of contextualized word representations from bi-directional language models

Generative_Deep_Learning_2nd_Edition

The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.

Transformers-for-NLP-2nd-Edition

Transformer models from BERT to GPT-4, environments from Hugging Face to OpenAI. Fine-tuning, training, and prompt engineering examples. A bonus section with ChatGPT, GPT-3.5-turbo, GPT-4, and DALL-E including jump starting GPT-4, speech-to-text, text-to-speech, text to image generation with DALL-E, Google Cloud AI,HuggingGPT, and more

Hands-On-Graph-Neural-Networks-Using-Python

Hands-On Graph Neural Networks Using Python, published by Packt

qiskit-community-tutorials

A collection of Jupyter notebooks developed by the community showing how to use Qiskit

tango

Organize your experiments into discrete steps that can be cached and reused throughout the lifetime of your research project.

allennlp-models

Officially supported AllenNLP models

Transformers_And_LLM_Are_What_You_Dont_Need

The best repository showing why transformers might not be the answer for time series forecasting and showcasing the best SOTA non transformer models.

pyterrier

A Python framework for performing information retrieval experiments, building on http://terrier.org/

agentpy

AgentPy is an open-source framework for the development and analysis of agent-based models in Python.

smltar

Manuscript of the book "Supervised Machine Learning for Text Analysis in R" by Emil Hvitfeldt and Julia Silge

ohmnet

OhmNet: Representation learning in multi-layer graphs

mambo