qiyanjun

deep2Read

https://qdata.github.io/deep2Read/ This website includes a (growing) list of papers and lectures we read on deep learning and related.

TextAttack

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

2019f-UVA-CS6316-MachineLearning

https://qiyanjun.github.io/2019f-UVA-CS6316-MachineLearning/

2020f-UVA-CS-MachineLearningDeep

https://qiyanjun.github.io/2020f-UVA-CS-MachineLearningDeep/

2022sp-UVA-CS-MachineLearningDeep

https://qiyanjun.github.io/2022sp-UVA-CS-MachineLearningDeep/

2024sp-GenAI-Risk-Benefits

CS6501: Risks and Benefits of Generative AI and LLMs (Spring 2024)

alphafold

Open source code for AlphaFold.

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

books2read

http://qiyanjun.github.io/books2read/

Homepage

https://qiyanjun.github.io/Homepage/

qiyanjun/2024sp-GenAI-Risk-Benefits

CS6501: Risks and Benefits of Generative AI and LLMs (Spring 2024)

qiyanjun/2020f-UVA-CS-MachineLearningDeep

https://qiyanjun.github.io/2020f-UVA-CS-MachineLearningDeep/

qiyanjun/books2read

http://qiyanjun.github.io/books2read/

qiyanjun/2022sp-UVA-CS-MachineLearningDeep

https://qiyanjun.github.io/2022sp-UVA-CS-MachineLearningDeep/

qiyanjun/Homepage

https://qiyanjun.github.io/Homepage/

qiyanjun/alphafold

Open source code for AlphaFold.

qiyanjun/amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

qiyanjun/analysis_pipeline

TOPMed analysis pipeline

qiyanjun/awesome-public-datasets

A topic-centric list of HQ open datasets.

qiyanjun/covid19-review

A collaborative review of the emerging COVID-19 literature. Join the chat here:

qiyanjun/DADA

The official code for DADA: Differentiable Automatic Data Augmentation

qiyanjun/deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

qiyanjun/deep2read-pre-post-drafting

qiyanjun/eraserbenchmark

A benchmark for understanding and evaluating rationales: http://www.eraserbenchmark.com/

qiyanjun/flair

A very simple framework for state-of-the-art Natural Language Processing (NLP)

qiyanjun/fonduer

A knowledge base construction engine for richly formatted data

qiyanjun/FrEIA

Framework for Easily Invertible Architectures

qiyanjun/google-research

Google Research

qiyanjun/haystack

:mag: Transformers at scale for question answering & neural search. Using NLP via a modular Retriever-Reader-Pipeline. Supporting DPR, Elasticsearch, HuggingFace's Modelhub...

qiyanjun/Informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

qiyanjun/MedCAT

Medical Concept Annotation Tool

qiyanjun/mmgeneration

MMGeneration is a powerful toolkit for generative models, based on PyTorch and MMCV.

qiyanjun/Neural-Process-Family

Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.

qiyanjun/ParlAI

A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

qiyanjun/python-docs-samples

Code samples used on cloud.google.com

qiyanjun/pytorch-template

PyTorch deep learning projects made easy.

qiyanjun/reformer-pytorch

Reformer, the efficient Transformer, in Pytorch

qiyanjun/selene

a framework for training sequence-level deep learning networks

qiyanjun/TextAttack

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP

qiyanjun/training-data-analyst

Labs and demos for courses for GCP Training (http://cloud.google.com/training).