starflettw's repositories
explainerdashboard
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
nerf
Code release for NeRF (Neural Radiance Fields)
ckip-transformers
CKIP Transformers
keras-attention-mechanism
Attention mechanism Implementation for Keras.
mimic-code
MIMIC Code Repository: Code shared by the research community for the MIMIC-III database
jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
communities
Library for detecting and visualizing community structure in graphs
Knowledge-Distillation-Zoo
Pytorch implementation of various Knowledge Distillation (KD) methods.
Data-Analysis
Data Science Using Python
linkedin-skill-assessments-quizzes
Full reference of linkedin answers for skill assessments, linkedin test, questions and answers (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, css, python, machine-learning, power-poin, excel ...) ответы на квиз, LinkedIn quiz lösungen, linkedin quiz las respuestas
DeOldify
A Deep Learning based project for colorizing and restoring old images (and video!)
Keras-GAN
Keras implementations of Generative Adversarial Networks.
google-research
Google Research
interpret
Fit interpretable models. Explain blackbox machine learning.
ltp
Language Technology Platform
bert
TensorFlow code and pre-trained models for BERT
pyGAM
[HELP REQUESTED] Generalized Additive Models in Python
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
NLP-with-Python
Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more
noisystudent
Code for Noisy Student Training. https://arxiv.org/abs/1911.04252
VAE-LSTM-for-anomaly-detection
We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.
Locally-Adaptive-Activation-Functions-Neural-Networks-
These are the set of python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawaguchi, G E Karniadakis, Locally adaptive activation functions with slope recovery for deep and physics-informed neural networks, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 20200334, 2020. (http://dx.doi.org/10.1098/rspa.2020.0334)".
propscore
Estimate the Propensity Score in Python following Imbens and Rubin (2015)
KnowledgeDistillation
A general framework for knowledge distillation
neural_additive_models
stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
plda
Probabilistic Linear Discriminant Analysis & classification, written in Python.
Knowledge-Distillation-in-Keras
Demonstrates knowledge distillation for image-based models in Keras.
Surprise
A Python scikit for building and analyzing recommender systems