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3d-cyclegan-pytorch-medimaging

Pytorch pipeline for 3D image domain translation using Cycle-Generative-Adversarial-networks, without paired examples.

3d-machine-learning

A resource repository for 3D machine learning

3d-u-net-keras

3D-Unet: patched based Keras implementation for medical images segmentation

500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

advancepytorchgeometrictutorials

here you can find the material used for our Tutorials

artificial-intelligence-deep-learning-machine-learning-tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

best-websites-a-programmer-should-visit

:link: Some useful websites for programmers.

coursera-deeplearning.ai-natural-language-processing-specialization

This Repository Contains Solution to the Assignments of the Natural Language Processing Specialization from Deeplearning.ai on Coursera Taught by Younes Bensouda Mourri, Łukasz Kaiser, Eddy Shyu

cxx-itk-tutorials

Here, we will be showcasing our seminar series “CPP for Image Processing and Machine Learning” including presentations and code examples. There are image processing and machine learning libraries out there which use C++ as a base and have become industry standards (ITK for medical imaging, OpenCV for computer vision and machine learning, Eigen for linear algebra, Shogun for machine learning). The documentation provided with these packages, though extensive, assume a certain level of experience with C++. Our tutorials are intended for those people who have basic understanding of medical image processing and machine learning but who are just starting to get their toes wet with C++ (and possibly have prior experience with Python or MATLAB). Here we will be focusing on how someone with a good theoretical background in image processing and machine learning can quickly prototype algorithms using CPP and extend them to create meaningful software packages.

dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

doctag-data-preprocessing-longeval

Script to preprocess the LongEval challenge data for annotation in Doctag

ensemble-segmentation

Monai-pytorch based segmentantion with ensemble training for 3D medical images

generative_ai_llms

Generative AI with Large Language Models on Coursera offered by Deeplearning.AI and AWS.

graph4nlp

Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website (https://dlg4nlp.github.io/index.html) for various learning resources!

hands-on-nltk-tutorial

The hands-on NLTK tutorial for NLP in Python

information-retrieval-2

Neural information retrieval / semantic-search / Bi-Encoders

learn-natural-language-processing-curriculum

This is the curriculum for "Learn Natural Language Processing" by Siraj Raval on Youtube

llama-gpt

A self-hosted, offline, ChatGPT-like chatbot. Powered by Llama 2. 100% private, with no data leaving your device. New: Code Llama support!

localgpt

Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.

ltsf-linear

[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"

machine-learning-with-python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

machine_learning_tutorials

Code, exercises and tutorials of my personal blog ! 📝

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

ml_course

EPFL Machine Learning Course, Fall 2019

monai

AI Toolkit for Healthcare Imaging

monai-dev

monai_0_7_0

AI Toolkit for Healthcare Imaging. Copy of the official monai repository.

nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

ng-video-lecture

nlp-in-practice

Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.