al-nguyen

stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

ATLAS

A principled instruction benchmark on formulating effective queries and prompts for large language models (LLMs). Our paper: https://arxiv.org/abs/2312.16171

Generalization_of_FT-LLM

Implementation of NAACL 2024 paper Unveiling the Generalization Power of Fine-Tuned Large Language Models

CheXGPT

Image-Downloader

Download images from Google, Bing, Baidu. 谷歌、百度、必应图片下载.

Deep_Learning_Practice_labs

Labs for 5003 Deep Learning Practice course in summer term 2021 at NYCU.

ganhacks

starter from "How to Train a GAN?" at NIPS2016

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

fairseq-image-captioning

Transformer-based image captioning extension for pytorch/fairseq

Sentiment-Analysis-on-Tripadvisor-reviews

Sentiment analysis, analyzing user’s textual reviews, to perform a binary classification task (positive or negative mood). Designed a machine learning pipeline able to achieve an F1 score of 96.7% on unseen reviews.

MachineLearning

chest-xray-medical-report-generation

Medical-Report-Generation-using-Deep-Learning

Generating Medical Reports using Chest X-Rays

sparkify_churn_prediction

Repository for Churn Prediction notebook

chexpert-labeler

CheXpert NLP tool to extract observations from radiology reports.

skoltech_image_cap

Полное собрание кода для задач X-Ray captioning

minisom

:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps

R2Gen

Load_Dataset

To load dataset using PIL, CV2, Keras andTensorflow

sketch_rnn_keras

Keras implementation of Sketch RNN