261 Open source projects that are alternatives of or similar to Insta Dm

Hierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx

Problem Agnostic Speech Encoder

Python implementation of bag-of-concepts

Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)

[UNMAINTAINED] 非监督特征学习与深度学习中文教程，该版本翻译自新版 UFLDL Tutorial 。建议新人们去学习斯坦福的CS231n课程，该门课程在网易云课堂上也有一个配有中文字幕的版本。

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Experiments for understanding disentanglement in VAE latent representations

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A library of extension and helper modules for Python's data analysis and machine learning libraries.

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an open-source implementation of sequence-to-sequence based speech processing engine

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

Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video (NeurIPS 2019)

Unsupervised Learning for Image Registration

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TensorFlow implementation of Deep Graph Infomax

[ICLR-2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.

🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps

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SuSi: Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

SCAN: Learning to Classify Images without Labels (ECCV 2020), incl. SimCLR.

AAAI 2018 - Unsupervised video summarization with deep reinforcement learning (PyTorch)

IVA: Independent Vector Analysis implementation

Unsupervised Feature Learning via Non-parametric Instance Discrimination

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

AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss

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

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

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

[IEEE TIP'2021] "EnlightenGAN: Deep Light Enhancement without Paired Supervision" by Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang

TensorFlow Implementation of Unsupervised Cross-Domain Image Generation

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

PHP-ML - Machine Learning library for PHP

Keras implementation of Representation Learning with Contrastive Predictive Coding

(CVPR'20 Oral) Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild

Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation

code for unsupervised learning Neural Hidden Markov Models paper

PyTorch implementation of the CortexNet predictive model

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

📄 A PyTorch implementation of Paragraph Vectors (doc2vec).

Student–Teacher Anomaly Detection with Discriminative Latent Embeddings

Pytorch implementation of β-VAE

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

SelFlow: Self-Supervised Learning of Optical Flow

Composable GAN framework with api and user interface

Implementing machine learning algorithms from scratch.

[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs

100-Days-Of-ML-Code中文版

Algorithms for outlier and adversarial instance detection, concept drift and metrics.

A PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).

Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)

Rank-based Unsupervised Keyword Extraction via Metavertex Aggregation

Unsupervised learning of atomic scale dynamics from molecular dynamics.

A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).