453 Open source projects that are alternatives of or similar to Graphwavemachine

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

利用文本挖掘技术进行新闻热点关注问题分析

Unofficial PyTorch Implementation of Unsupervised Data Augmentation.

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

Pytorch code for our ICLR 2017 paper "Layered-Recursive GAN for image generation"

Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0.

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

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

Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. In CVPR, 2017.

Implementation of Grounding of Textual Phrases in Images by Reconstruction in Tensorflow

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

Learning Video Object Segmentation from Unlabeled Videos (CVPR2020)

👷‍♂️ A simple package for extracting useful features from character objects 👷‍♀️

基于字符训练词向量

Implementation of Hierarchical Attention Networks in PyTorch

Russian mass media stemmed texts corpus / Корпус лемматизированных (морфологически нормализованных) текстов российских СМИ

对 ansj 编写的 Word2VEC_java 的进一步包装，同时实现了常用的词语相似度和句子相似度计算。

Code for unsupervised aspect extraction, using Keras and its Backends

Convolutional Autoencoder for Loop Closure

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

Go library for performing computations in word2vec binary models

🦆 Contextually-keyed word vectors

嵌入Word2vec词向量的RNN+ATTENTION中文文本分类

Dice.com repo to accompany the dice.com 'Vectors in Search' talk by Simon Hughes, from the Activate 2018 search conference, and the 'Searching with Vectors' talk from Haystack 2019 (US). Builds upon my conceptual search and semantic search work from 2015

Pre-trained Word2Vec Model for Turkish

Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency (AAAI 2021)

Bayesian Coherent Point Drift (BCPD/BCPD++); Source Code Available

code for unsupervised learning Neural Hidden Markov Models paper

A curated list of pretrained sentence and word embedding models

A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.

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

Japanese word embedding with Sudachi and NWJC 🌿

The official PyTorch implementation of the paper "Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation".

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

Unsupervised learning and generative models in python/pytorch.

Composable GAN framework with api and user interface

NLP research：基于tensorflow的nlp深度学习项目，支持文本分类/句子匹配/序列标注/文本生成 四大任务

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

A curated list of awesome embedding models tutorials, projects and communities.

PHP-ML - Machine Learning library for PHP

Use pytorch to implement word2vec

Machine learning, in numpy

IVA: Independent Vector Analysis implementation

Student–Teacher Anomaly Detection with Discriminative Latent Embeddings

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

A word2vec port for Windows.

TextClf ：基于Pytorch/Sklearn的文本分类框架，包括逻辑回归、SVM、TextCNN、TextRNN、TextRCNN、DRNN、DPCNN、Bert等多种模型，通过简单配置即可完成数据处理、模型训练、测试等过程。

Implementing Skip-gram Negative Sampling with pytorch

Notebooks for the Seattle PyData 2017 talk on Scattertext

Unsupervised learning of atomic scale dynamics from molecular dynamics.

A fast, efficient universal vector embedding utility package.

code/webpage for the DeepMapping project

finalfusion embeddings in Rust

A curated list of community detection research papers with implementations.

R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation

All about Neural Networks!

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

e3d-lstm; Eidetic 3D LSTM A Model for Video Prediction and Beyond

DDFlow: Learning Optical Flow with Unlabeled Data Distillation

Explore high-dimensional datasets and how your algo handles specific regions.