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autopopulus

Framework to profile the use of autoencoders for imputation.

avalanche

Avalanche: an End-to-End Library for Continual Learning based on PyTorch.

azure-sql-database-samples

Azure SQL Database Samples and Reference Implementation Repository

brltm

python code for BRLTM model

class-incremental-learning

PyTorch implementation of AANets (CVPR 2021) and Mnemonics Training (CVPR 2020 Oral)

code_snippets

conformal-prediction

Lightweight, useful implementation of conformal prediction on real data.

credit-card-approval-prediction-classification

Credit risk analysis for credit card applicants

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.

datasets

error-detection

A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks

face-vit

facil

Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.

fonts

The ttf and zip font files are stored in this repository

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

keras

Deep Learning for humans

keras-vggface

VGGFace implementation with Keras Framework

knowledge-distillation

lights

A generalized joint model for high-dimensional multivariate longitudinal data and censored durations

lwf

Implementation of Learning without Forgetting paper

miceforest

Multiple Imputation with LightGBM in Python

mida-pytorch

PyTorch implementation of "MIDA: Multiple Imputation using Denoising Autoencoders"

mimic-code

MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases

ml-for-beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

neuralnets

Deep Learning libraries tested on images and time series

nos3

NASA Operational Simulator for Small Satellites

pdfarranger

Small python-gtk application, which helps the user to merge or split PDF documents and rotate, crop and rearrange their pages using an interactive and intuitive graphical interface.

portfolioprojects

practical-python-for-data-professionals-4358485

This is a repository for the LinkedIn Learning course Practical Python for Data Professionals

probability

Probabilistic reasoning and statistical analysis in TensorFlow