100-Days-Of-ML-Code中文版
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Updated
Feb 18, 2020 - Jupyter Notebook
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100-Days-Of-ML-Code中文版
VIP cheatsheets for Stanford's CS 229 Machine Learning
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
A library of extension and helper modules for Python's data analysis and machine learning libraries.
A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)
A curated list of pretrained sentence and word embedding models
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
A curated list of community detection research papers with implementations.
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
Find label errors in datasets, weak supervision, and learning with noisy labels.
Composable GAN framework with api and user interface
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
Self-Supervised Learning Toolbox and Benchmark
PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"
Unsupervised Learning for Image Registration
TensorFlow Implementation of Unsupervised Cross-Domain Image Generation
(CVPR'20 Oral) Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs
All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN
A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
Unsupervised Feature Learning via Non-parametric Instance Discrimination
Official repository for the paper High-Resolution Daytime Translation Without Domain Labels (CVPR2020, Oral)
Implementation of "Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image"
SCAN: Learning to Classify Images without Labels (ECCV 2020)
Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video (NeurIPS 2019)
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I'm using latest pyod version on pypi. How to generate simulated data where x-axis is time? Thank you.