htaj22's Stars
valeman/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.
mnielsen/neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
davidADSP/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.
PacktPublishing/Hands-On-Graph-Neural-Networks-Using-Python
Hands-On Graph Neural Networks Using Python, published by Packt
ageron/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.
williamleif/GraphSAGE
Representation learning on large graphs using stochastic graph convolutions.
jacobeisenstein/gt-nlp-class
Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"
qiskit-community/qiskit-community-tutorials
A collection of Jupyter notebooks developed by the community showing how to use Qiskit
probml/pml-book
"Probabilistic Machine Learning" - a book series by Kevin Murphy
snap-stanford/mambo
mims-harvard/ohmnet
OhmNet: Representation learning in multi-layer graphs
google-research/t5x
jofmi/agentpy
AgentPy is an open-source framework for the development and analysis of agent-based models in Python.
google/trax
Trax — Deep Learning with Clear Code and Speed
allenai/bilm-tf
Tensorflow implementation of contextualized word representations from bi-directional language models
allenai/allennlp-models
Officially supported AllenNLP models
allenai/allennlp
An open-source NLP research library, built on PyTorch.
allenai/tango
Organize your experiments into discrete steps that can be cached and reused throughout the lifetime of your research project.
Denis2054/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
EmilHvitfeldt/smltar
Manuscript of the book "Supervised Machine Learning for Text Analysis in R" by Emil Hvitfeldt and Julia Silge
aws/amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
WillKoehrsen/Data-Analysis
Data Science Using Python
terrier-org/pyterrier
A Python framework for performing information retrieval experiments, building on http://terrier.org/