228 Open source projects that are alternatives of or similar to NCE-loss

Highly efficient PyTorch version of the Semi-hard Triplet loss ⚡️

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Extremely simple and fast word2vec implementation with Negative Sampling + Sub-sampling

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Reinforcement learning (RL) implementation of imperfect information game Mahjong using markov decision processes to predict future game states

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📉Deep learning from scratch using Go. Specializes in natural language processing

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Generalized Deep Metric Learning.

A two-stream convolutional neural network for learning abitrary similarity functions over two sets of training data

A very simple, bare-bones, inefficient, implementation of skip-gram word2vec from scratch with Python

Scripts demo-ing how to train a Word2Vec model and reduce its vector space

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A document covering machine learning basics. 🤖📊

Implementation of Grad-CAM for text.

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doc2vec , word2vec, implemented by golang. word embedding representation

No description or website provided.

Rust interface to word2vec.

A comprehensive approach on recognizing emotion (sentiment) from a certain tweet. Supervised machine learning.

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Visualize large text collections with WebGL

Implementation of models in our EMNLP 2019 paper: A Logic-Driven Framework for Consistency of Neural Models

Improving MMD-GAN training with repulsive loss function

Pycsou is a Python 3 package for solving linear inverse problems with state-of-the-art proximal algorithms. The software implements in a highly modular way the main building blocks -cost functionals, penalty terms and linear operators- of generic penalised convex optimisation problems.

Word2Vec encodings based search engine for Stackoverflow questions

Sarcasm Detection for Sentiment Analysis

An evaluation of word-embeddings for classification

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An unofficial implementation of asm2vec as a standalone python package

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Hyperstar: Negative Sampling Improves Hypernymy Extraction Based on Projection Learning.

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The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-…

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Benchmarks for intrinsic word embeddings evaluation.

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TextAugment: Text Augmentation Library