411 Open source projects that are alternatives of or similar to walklets

Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.

Collection of cyber security and "AI" relevant topics

wmd4j is a Java library for calculating Word Mover's Distance (WMD)

Train Wikidata with word2vec for word embedding tasks

🕝 Time-warped principal components analysis (twPCA)

Mixing Dirichlet Topic Models and Word Embeddings to Make lda2vec from this paper https://arxiv.org/abs/1605.02019

Representation learning-based graph alignment based on implicit matrix factorization and structural embeddings

Google News and Leo Tolstoy: Visualizing Word2Vec Word Embeddings using t-SNE.

odr.chalmers.se/handle/20.500.12380/256629?locale=en

Scripts for an upcoming blog "Extractive vs. Abstractive Summarization" for RaRe Technologies.

Pujangga - Indonesian Natural Language Processing Tool with REST API, an Interface for InaNLP and Deeplearning4j's Word2Vec

A word2vec port for Windows.

Local Fisher Discriminant Analysis in R

Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST

An unofficial implementation of asm2vec as a standalone python package

Inspired by word2vec-pride-vis the replacement of words of Russian most valuable novels text with closest word2vec model words. By Boris Orekhov

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Pytorch differentiable molecular dynamics

Uniform Manifold Approximation and Projection

Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach, AAAI2020

Online feature-extraction and classification algorithm that learns representations of input patterns.

Semantic Image Manipulation using Scene Graphs (CVPR 2020)

Workshop (6 hours): Clustering (Hdbscan, LCA, Hopach), dimension reduction (UMAP, GLRM), and anomaly detection (isolation forests).

Cukatify is a music social media project

Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for training test. correct set is used for test. PCA is used for dimension reduction. SVM and KNN supervised algorithms are the classification algorithms of project. Accuracy : %83.5 For SVM , %80 For KNN

Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch

Uniform Manifold Approximation and Projection (UMAP) implementation in Julia

Some Cool NLP and CV Repositories and Solutions （收集NLP中常见任务的开源解决方案、数据集、工具、学习资料等）

A computational toolkit in R for the integration, exploration, and analysis of high-dimensional single-cell cytometry and imaging data.

doc2vec , word2vec, implemented by golang. word embedding representation

Estimate dynamic high-order correlations in multivariate timeseries data

A Tensorflow retrieval (space embedding) baseline. Metric learning baseline on CUB and Stanford Online Products.

📓 Long(er) text representation and classification using Doc2Vec embeddings

A word2vec negative sampling implementation with correct CBOW update.

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

Rust interface to word2vec.

A practical guide to topic mining and interactive visualizations

Oxford Deep NLP 2017 course - Practical 1: word2vec

Association Rule Mining from Spatial Data for Crime Analysis

同名论文消歧的工程化方案（参考2019智源-aminer人名消歧竞赛第一名方案）

Compute Sentence Embeddings Fast!

Chinese Word Segmention Base on the Deep Learning and LSTM Neural Network

Implementing Skip-gram Negative Sampling with pytorch

Repo for my talk at the PyData Berlin 2017 conference

Python interface to Google word2vec

Code for Graph Convolutional Matrix Factorization for Bipartite Edge Prediction

Federated Principal Component Analysis Revisited!

Bag of words meets bags of popcorn in Python 3 中文教程

finalfusion embeddings in Rust

All about Neural Networks!

Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep neural networks for representation and semi-supervised learning" (Sainburg, McInnes, Gentner, 2020).

A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations

An implementation of word2vec applied to [stanford philosophy encyclopedia](http://plato.stanford.edu/)

结合python一起学习自然语言处理 (nlp): 语言模型、HMM、PCFG、Word2vec、完形填空式阅读理解任务、朴素贝叶斯分类器、TFIDF、PCA、SVD

Few-shot binary text classification with Induction Networks and Word2Vec weights initialization

Tensorflow NCE loss in Keras

PyTorch implementation of Deep Randomized Ensembles for Metric Learning(ECCV2018)

Service Classification based on Service Description

A comprehensive dimensional reduction framework to recover the latent topology from high-dimensional data.

nlp lecture-notes and source code