SereneLian

SereneLian's Stars

• wangz10/contrastive_loss

  Experiments with supervised contrastive learning methods with different loss functions

  Language:Jupyter Notebook21435

• berenslab/t-simcne

  Unsupervised visualization of image datasets using contrastive learning

  Language:Python11512

• HobbitLong/SupContrast

  PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

  Language:Python3.1k529

• xmindflow/Awesome-Foundation-Models-in-Medical-Imaging

  A curated list of foundation models for vision and language tasks in medical imaging

  20114

• thiagorossener/jekflix-template

  A Jekyll theme inspired by Netflix. 🎬

  Language:HTML8501.2k

• google-research/simclr

  SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

  Language:Jupyter Notebook4.1k624

• AIM-Harvard/foundation-cancer-image-biomarker

  Code and evaluation repository for the paper

  Language:Jupyter Notebook7910

• KatherLab/Medical_LLM

  Welcome to the Medical LLM repository, your premier gateway to a structured and meticulously designed pipeline exclusively crafted for large language models (LLMs) based medical projects.

  Language:Python131

• johnnyhwu/Awesome-LLM-Tabular

  Awesome-LLM-Tabular: a curated list of Large Language Model applied to Tabular Data

  30628

• chaoyi-wu/Finetune_LLAMA

  简单易懂的LLaMA微调指南。

  Language:Python35935

• joshbickett/finetune-llama-2

  Language:Jupyter Notebook1613

• hiyouga/LLaMA-Factory

  Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)

  Language:Python33.6k4.1k

• richard-peng-xia/awesome-multimodal-in-medical-imaging

  A collection of resources on applications of multi-modal learning in medical imaging.

  53158

• aladdinpersson/Machine-Learning-Collection

  A resource for learning about Machine learning & Deep Learning

  Language:Python7.6k2.7k

• jia-zhuang/pytorch-multi-gpu-training

  整理 pytorch 单机多 GPU 训练方法与原理

  Language:Python76683

• jakevdp/PythonDataScienceHandbook

  Python Data Science Handbook: full text in Jupyter Notebooks

  Language:Jupyter Notebook43.1k17.9k

• joelgrus/data-science-from-scratch

  code for Data Science From Scratch book

  Language:Python8.7k4.5k

• yandexdataschool/roc_comparison

  The fast version of DeLong's method for computing the covariance of unadjusted AUC.

  Language:Python14540

• Dana-Farber-AIOS/GPT4DFCI

  A private and secure generative AI tool, based on GPT-4 and deployed for non-clinical use at Dana-Farber Cancer Institute

  Language:TypeScript558

• OptimalScale/LMFlow

  An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

  Language:Python8.3k826

• meta-llama/llama

  Inference code for Llama models

  Language:Python56.3k9.6k

• AGI-Edgerunners/LLM-Adapters

  Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"

  Language:Python1.1k102

• epfLLM/meditron

  Meditron is a suite of open-source medical Large Language Models (LLMs).

  Language:Python1.9k170

• snap-stanford/med-flamingo

  Language:Python38132

• starmpcc/CAMEL

  Clinically Adapted Model Enhanced from LLaMA

  Language:Python775

• mahmoodlab/UNI

  Towards a general-purpose foundation model for computational pathology - Nature Medicine

  Language:Jupyter Notebook33544

• mahmoodlab/CONCH

  A vision-language foundation model for computational pathology - Nature Medicine

  Language:Python26921

• mahmoodlab/CLAM

  Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering

  Language:Python1.1k362

• markowetzlab/slidl-tutorial

  A tutorial demonstration of SliDL on an example dataset for the manuscript "SliDL: a toolbox for processing whole-slide images in deep learning" by Berman et al.

  Language:Jupyter Notebook3

• aschalkamp/UKBBprodromalPD

  This repository includes all the code used in the manuscript Schalkamp et al (2023) (https://doi.org/10.1038/s41591-023-02440-2) also available as a pre-print (https://doi.org/10.1101/2022.11.28.22282809)

  Language:Jupyter Notebook141