Mingying Zheng's repositories
alphafold
Open source code for AlphaFold.
bigbird
Transformers for Longer Sequences
chatgpt-comparison-detection
Human ChatGPT Comparison Corpus (HC3), Detectors, and more! 🔥
CLIP
Contrastive Language-Image Pretraining
deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
gflownet
Generative Flow Networks
keras
R Interface to Keras
Kidsights_NSCH_ACS
R package to conduct data wrangling of NSCH and ACS datasets to assess and promote the generalizability of Kidsights Data.
lime
Lime: Explaining the predictions of any machine learning classifier
MLMania
Helper functions and dependencies for an MLM class I teach
modelselection
Tutorial on model assessment, model selection and inference after model selection
multimodal-deep-learning
This repository contains various models targetting multimodal representation learning, multimodal fusion for downstream tasks such as multimodal sentiment analysis.
NCME2022
This is a repo for NCME2022
nlptest
Deliver safe & effective NLP models
openai-quickstart-python
Python example app from the OpenAI API quickstart tutorial
openfold
Trainable PyTorch reproduction of AlphaFold 2
packageSkeletonForR
A package skeleton for starting an R package
pyLDAvis
Python library for interactive topic model visualization. Port of the R LDAvis package.
randomNames
Function to generate random gender and ethnicity correct first and/or last names. Names are chosen proportionally based upon their probability of appearing in a large scale data base of real names.
rticles
LaTeX Journal Article Templates for R Markdown
scikit-learn
scikit-learn: machine learning in Python
spark-nlp-workshop
Public runnable examples of using John Snow Labs' NLP for Apache Spark.
tensorflow-1
An Open Source Machine Learning Framework for Everyone
TextBrewer
A PyTorch-based knowledge distillation toolkit for natural language processing
transformers
🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.