363 Open source projects that are alternatives of or similar to Spherical Text Embedding

Ladder network is a deep learning algorithm that combines supervised and unsupervised learning.

(NeurIPS 2020 oral) Code for "Deep Transformation-Invariant Clustering" paper

[ICCV 2019] Recursive Cascaded Networks for Unsupervised Medical Image Registration

R wrapper for fastText

Contrastive Predictive Coding for Automatic Speaker Verification

Assessing Source Code Semantic Similarity with Unsupervised Learning

Python re-implementation of the spectral clustering algorithm in the paper "Speaker Diarization with LSTM"

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

Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising variations of GANs like conditional and Wasserstein.

Machine Learning (EE 5184) in NTU

The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).

Complete-Life-Cycle-of-a-Data-Science-Project

How to do Unsupervised Clustering with Keras

TCyb 2018: Graph learning for multiview clustering

Implementation of VLAE

Visualize word embeddings of a vocabulary in TensorBoard, including the neighbors

The repository contains source code and models to use PixelNet architecture used for various pixel-level tasks. More details can be accessed at <http://www.cs.cmu.edu/~aayushb/pixelNet/>.

VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.

Transformer for Graph Classification (Pytorch and Tensorflow)

DDFlow: Learning Optical Flow with Unlabeled Data Distillation

Supplementary material for Hands-On Machine Learning with R, an applied book covering the fundamentals of machine learning with R.

Parametric Instance Classification for Unsupervised Visual Feature Learning, NeurIPS 2020

Caffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"

Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)

The Partitioning Around Medoids (PAM) implementation of the K-Medoids algorithm in Python [Unmaintained]

Deep learning using tensorflow

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

A Compositional Object-Based Approach to Learning Physical Dynamics

🍘 単語分割を経由しない単語埋め込み 🍘

VIP cheatsheets for Stanford's CS 229 Machine Learning

IVA: Independent Vector Analysis implementation

t-Distributed Stochastic Neighbor Embedding (t-SNE) in Go

Yelp round-10 review comments classification using deep learning (LSTM and CNN) and natural language processing.

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

Codes for Stylistic Chinese Poetry Generation via Unsupervised Style Disentanglement (EMNLP 2018)

Deep-learning approaches to object recognition from 3D data

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

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

A word2vec negative sampling implementation with correct CBOW update.

Unsupervised Controllable Text Generation (Applied to text Formalization)

Official Pytorch Implementation for ICML'19 paper: Unsupervised Deep Learning by Neighbourhood Discovery

Official implementation of the CVPR 2022 paper "DETReg: Unsupervised Pretraining with Region Priors for Object Detection".

An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.

Find nodes in hierarchical clustering that are statistically significant

Toolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets

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

Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".

Chainer implementation of deep-INFOMAX

Remove problematic gender bias from word embeddings.

utils to use word embedding like word2vec vectors in a postgres database

Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined with model-based control.

Flappy Bird AI using Evolution Strategies

An Unsupervised Learning Framework for Moving Object Detection From Videos

Autoregressive Predictive Coding: An unsupervised autoregressive model for speech representation learning

Unofficial PyTorch Implementation of Unsupervised Data Augmentation.

Tensorflow implementation of Unsupervised Depth Completion from Visual Inertial Odometry (in RA-L January 2020 & ICRA 2020)

code for unsupervised learning Neural Hidden Markov Models paper

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

Image2Image Translation Research