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adalista

Ada-LISTA: Learned Solvers Adaptive to Varying Models

alista

[ICLR 2019] "ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA", by Jialin Liu*, Xiaohan Chen*, Zhangyang Wang and Wotao Yin.

approximateconvolutionalsparsecoding

An implementation of approximate convolutional sparse coding (CSC) based on paper: https://arxiv.org/abs/1711.00328

arima-model

ARIMA model from scratch using numpy and pandas.

arma-dgl

A DGL implementation of "Graph Neural Networks with convolutional ARMA filters". (PAMI 2021)

auto-sklearn

Automated Machine Learning with scikit-learn

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

benchmark_dataset_for_graph_classification

This repository contains a dataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.

cartoonx

code repository for the paper "Cartoon Explanations of Image Classifiers"

cayley

An open-source graph database

cayleynet

Graph Convolutional Neural Networks with Complex Rational Spectral Filters

cayleynet-1

CayleyNet Torch Geometric Module

chainer-chemistry

Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry

chainer-handson

CAUTION: This is not maintained anymore. Visit https://github.com/chainer-community/chainer-colab-notebook/

cnn_graph

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

code-samples

Source code examples from the Parallel Forall Blog

cookbook-2nd-code

Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]

csinva.github.io

Slides, paper notes, class notes, blog posts, and research on machine learning, statistics, and AI.

d-heggn

Deterministic Approach for Sampling HetGNNs

data-augmentation

data-cleaning-in-python-essential-training-3086536

This is a LinkedIn Learning repo for Data Cleaning in Python Essential Training.

datasets-for-recommender-systems

This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)

daterangeparser

Python module to parse human-style date ranges (eg. 15th-19th March 2011) to datetimes

deep-learning-collection

deeplearning-padhai

All the code files related to the deep learning course from PadhAI

deeplearningexamples

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

deepwalk

DeepWalk - Deep Learning for Graphs

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

docker-python

Kaggle Python docker image

docs

TensorFlow documentation