ghostintheshellarise Goto Github PK

20180523-firstmeetup

Files used in the seminar "Scientific computing using Python and R: a thermal and building science researcher's perspective" by Howard Cheung

2021hackforrare

Python codes and datasets

3dunetcnn

Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

aasn

Network interaction recovery using toy data from UCI Machine Learning Repository

adanet

Fast and flexible AutoML with learning guarantees.

advice

A repository of links with advice related to grad school applications, research, phd etc

aequitas

Bias and Fairness Audit Toolkit

allennlp-models

Officially supported AllenNLP models

altcademy

Exercise submitted for grading

annoy

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

applied-dl-2018

Tel-Aviv Deep Learning Boot-camp: 12 Applied Deep Learning Labs

appnp

A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).

atap

Code for Applied Text Analysis with Python

autograd

Efficiently computes derivatives of numpy code.

awesome-2vec

Curated list of 2vec-type embedding models

awesome-community-detection

A curated list of community detection research papers with implementations.

awesome-coreml-models

Largest list of models for Core ML (for iOS 11+)

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

awesome-quantum-machine-learning

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

ax

Adaptive Experimentation Platform

bane

A sparsity aware implementation of "Binarized Attributed Network Embedding" (ICDM 2018).

bayesboost

Bayesian Optimization using xgboost and sklearn API

bayespy

Bayesian Python: Bayesian inference tools for Python

benchmark_vae

Unifying Generative Autoencoder implementations in Python

bern

A neural named entity recognition and multi-type normalization tool for biomedical text mining

bert

TensorFlow code and pre-trained models for BERT

bigscience_test

bilm-tf

Tensorflow implementation of contextualized word representations from bi-directional language models