Morteza Heidari's Projects
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Google Brain AutoML
Awesome-LLM: a curated list of Large Language Model
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
TensorFlow code and pre-trained models for BERT
In this project I'm going to segment Tumor in MRI brain Images with a UNET which is based on Keras. The dataset is available online on Kaggle, and the algorithm provided 99% accuracy with a validation loss of 0.11 in just 10 epochs.
Brest Cancer classification with CNN
In this Repo, A #UNET in #Pytorch is presented for Image segmentation of #Carvana challenge.
Open-source AI cookbook
Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform
DSPy: The framework for programming—not prompting—foundation models
FILM: Frame Interpolation for Large Motion, In arXiv 2022.
A basic introduction to teaching Git and GitHub
A pytorch implementation of CNN based MRI image registration based on Christodoulidis Stergios et al. "Linear and Deformable Image Registration with 3D Convolutional Neural Networks", 2018.
A library of data loaders for LLMs made by the community -- to be used with LlamaIndex and/or LangChain
Examples and recipes for Llama 2 model
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
LLM Finetuning with peft
Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.
Release LMV-Med pre-trained models
Segment Anything in Medical Images
Medical Image Segmentation with Diffusion Model
My personal Repo
Neural Network Compression Framework for enhanced OpenVINO™ inference