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100-Days-Of-ML-Code中文版
Created
2018-08-05
323 commits to master branch, last one 2 years ago
VIP cheatsheets for Stanford's CS 229 Machine Learning
Created
2018-08-04
178 commits to master branch, last one 4 years ago
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
paper
papers
survey
theory
few-shot
deep-learning
meta-learning
tutorial-code
generalization
style-transfer
domain-adaption
machine-learning
transferlearning
domain-adaptation
few-shot-learning
transfer-learning
domain-generalization
unsupervised-learning
representation-learning
self-supervised-learning
Created
2017-04-30
1,171 commits to master branch, last one 20 days ago
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
Created
2015-01-27
192 commits to master branch, last one 27 days ago
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
Created
2017-10-03
1,870 commits to master branch, last one 9 days ago
Anomaly detection related books, papers, videos, and toolboxes
Created
2018-05-16
292 commits to master branch, last one 4 months ago
A library of extension and helper modules for Python's data analysis and machine learning libraries.
Created
2014-08-14
1,657 commits to master branch, last one 6 days ago
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
This repository has been archived
(exclude archived)
Created
2020-03-10
40 commits to master branch, last one about a year ago
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
Created
2021-11-02
704 commits to main branch, last one 16 days ago
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
mooc
python
coursera
andrew-ng
solutions
tensorflow
deep-learning
decision-trees
neural-network
machine-learning
linear-regression
coursera-assignment
logistic-regression
recommendation-system
unsupervised-learning
coursera-specialization
andrew-ng-machine-learning
supervised-machine-learning
unsupervised-machine-learning
Created
2022-06-16
145 commits to main branch, last one about a month ago
OpenMMLab Self-Supervised Learning Toolbox and Benchmark
Created
2020-06-12
654 commits to main branch, last one about a year ago
A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)
Created
2012-10-24
28,892 commits to master branch, last one about a year ago
A curated list of community detection research papers with implementations.
Created
2018-10-10
481 commits to master branch, last one 8 months ago
Unsupervised Learning for Image Registration
Created
2018-05-14
593 commits to dev branch, last one 2 months ago
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
Created
2020-02-17
144 commits to master branch, last one 3 years ago
Algorithms for outlier, adversarial and drift detection
Created
2019-10-07
732 commits to master branch, last one 2 days ago
A curated list of pretrained sentence and word embedding models
This repository has been archived
(exclude archived)
Created
2018-12-10
200 commits to master branch, last one 3 years ago
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
Created
2019-12-05
2,319 commits to master branch, last one 4 months ago
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
Created
2017-04-25
31 commits to master branch, last one 3 years ago
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
Created
2017-10-26
158 commits to master branch, last one 3 years ago
:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps
Created
2013-07-03
612 commits to master branch, last one 20 days ago
Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"
Created
2019-05-24
45 commits to main branch, last one 3 months ago
SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
Created
2020-03-16
45 commits to master branch, last one about a year ago
A comprehensive list of awesome contrastive self-supervised learning papers.
Created
2020-06-10
77 commits to master branch, last one 2 months ago
Composable GAN framework with api and user interface
Created
2016-06-24
3,902 commits to master branch, last one 3 years ago
(CVPR'20 Oral) Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild
Created
2020-03-10
14 commits to master branch, last one 3 years ago
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
Created
2016-08-15
59 commits to master branch, last one 7 months ago
PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"
Created
2017-03-17
49 commits to master branch, last one 6 years ago
Library for detecting anomalies in signals
Created
2018-07-24
609 commits to master branch, last one 7 days ago
TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
Created
2020-06-15
850 commits to master branch, last one about a year ago