261 Open source projects that are alternatives of or similar to And

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An extensive machine learning library, made from scratch (Python).

Rank-based Unsupervised Keyword Extraction via Metavertex Aggregation

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Unsupervised learning of atomic scale dynamics from molecular dynamics.

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Python implementation of bag-of-concepts

speech to text with self-supervised learning based on wav2vec 2.0 framework

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Unsupervised Learning for Image Registration

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📈 Regression and Classification with UC Davis student quiz data and exam data

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Code for unsupervised aspect extraction, using Keras and its Backends

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.

📜 Self-Supervised Learning from Images: Up-to-date reading list.

The standard package for machine learning with noisy labels, finding mislabeled data, and uncertainty quantification. Works with most datasets and models.

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Unsupervised Learning of Multi-Frame Optical Flow with Occlusions

code for unsupervised learning Neural Hidden Markov Models paper

Unofficial PyTorch Implementation of Unsupervised Data Augmentation.

Weakly Supervised 3D Object Detection from Point Clouds (VS3D), ACM MM 2020

DDFlow: Learning Optical Flow with Unlabeled Data Distillation

Composable GAN framework with api and user interface

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This is an implementation for the CVPR2020 paper "Learning Invariant Representation for Unsupervised Image Restoration"

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

PHP-ML - Machine Learning library for PHP

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Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.

A flexible version of CorEx developed for bio-data challenges that handles missing data, continuous/discrete variables, multi-CPU, overlapping structure, and includes visualizations

IVA: Independent Vector Analysis implementation

Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds (CVPR 2020)

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

Gradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder

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