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A simple implementation of the Quantum Support Vector Machine, using Qiskit.

Vector_space_modelling ⭐ 14

NLP in python Vector Space Modelling and document classification NLP

Midi Glove ⭐ 13

Create MIDI note vector embeddings using GloVe (Global Vectors for Word Representation)

Dynamic_factor_models ⭐ 13

Genredistance ⭐ 13

Exploring textual and social measures of distance between genres.

Support Vector Machine (SVM) library for Python with GPU

My_energy_forecast_svr ⭐ 13

Using my smart meter electricity data from Baltimore Gas and Electric to forecast my energy demand using support vector regression.

Mathematics_for_machine_learning ⭐ 12

This repository contains code and theory of mathematical concepts required to master Machine Learning

Fill The Gap ⭐ 12

[ACL-WS] 4th place solution to gendered pronoun resolution challenge on Kaggle

Scdv Python ⭐ 12

Sparse Composite Document Vectors using soft clustering over distributional representations

Osm Instance Segmentation ⭐ 12

Change Detector from Image to Vector - This project is about finding changes in vector data from orthophotos (i.e. aerial imagery) using deep learning.

Custom Svm ⭐ 11

Custom implementation of Support Vector Machines using Python and NumPy

Indexablebitvectors.jl ⭐ 11

Fully indexable dictionaries - access/rank/select operations

Happygisco ⭐ 11

Simple client (Python) built on top of Eurostat GISCO web-services

Mnist_gan ⭐ 11

In this notebook, we'll be building a generative adversarial network (GAN) trained on the MNIST dataset. From this, we'll be able to generate new handwritten digits! GANs were first reported on in 2014 from Ian Goodfellow and others in Yoshua Bengio's lab. Since then, GANs have exploded in popularity. Here are a few examples to check out: Pix2Pix CycleGAN & Pix2Pix in PyTorch, Jun-Yan Zhu A list of generative models The idea behind GANs is that you have two networks, a generator 𝐺 and a dis

User2code2vec ⭐ 11

🤓 user2code2vec: Embeddings for Profiling Students Based on Distributional Representations of Source Code. Full Paper presented at Learning Analytics & Knowledge 2019 Conference in AZ, USA

Eigenvector Analysis ⭐ 11

Code for "Interpreting Word Embeddings with Eigenvector Analysis" https://openreview.net/forum?id=rJfJiR5ooX.

Brunch_nafma ⭐ 11

Word_2_vec ⭐ 11

Training of a Word2Vec Model on a Text Dataset

Sentence Based Sentiment Analysis ⭐ 11

Sentence Based Sentiment Analysis

Word2vec Talk ⭐ 11

Slides and coding demo for word2vec

Code for AccentDB.

Embeddings ⭐ 10

Pre-trained vectors for DNS embeddings

Toxic Comment Challenge Lstm ⭐ 10

The open source project aims to tackle a live problem about classification on negative online behavior (i.e. toxic comments) such as rude, disrespectful or otherwise likely to make someone leave a discussion. The challenge is originated from Kaggle, an online machine learning competition platform.

Keyword_i2x ⭐ 10

Generates the most important key-phrase/key-words from a document based on a corpus

A simple numpy-based genetic algorithm library for function parameter optimization.

Twitter_sentiment_analysis_part9 ⭐ 10

Twitter sentiment analysis part 9: Neural Networks with Tfidf vectors using Keras

Material for "Learn AI with a robot"

Mol2vec_notebooks ⭐ 9

Mol2vec notebooks for use with Binder service

Language Modeling ⭐ 9

Language modeling on the Penn Treebank (PTB) corpus using a trigram model with linear interpolation, a neural probabilistic language model, and a regularized LSTM.

Abstraction ⭐ 9

work-in-progress neural network project using similar algorithms for conversation modelling and physics event classification, featuring curated utterance-response data and word vector features

Pytorch Rec ⭐ 9

Linalgtuts.jl ⭐ 9

Linear Algebra tutorials written in pure Julia. This repository contains tutorials that go alongside the textbook Introduction to Linear Algebra by Gilbert Strang.

Supervised Vector-Quantized Autoencoder

Social Networks Ads ⭐ 8

One of the most basic data sets to learn and implement some of the most easy and basic algorithms of machine learning and visualization

Retouchml ⭐ 8

Enhances faces on images and automatically beautifies them using StyleGan2 and machine learning

Voicetools ⭐ 8

Industry2vec ⭐ 8

Italian EMotive lexicon

Persianwordvectors ⭐ 8

A set of pre-trained word vectors for Persian language

Udacity_sdcnd_vehicle Detection ⭐ 8

Created a vehicle detection and tracking pipeline with OpenCV, histogram of oriented gradients (HOG), and support vector machines (SVM). Optimized and evaluated the model on video data from a automotive camera taken during highway driving.

Nanogenmo2017 ⭐ 7

The Average Novel

Intuishop ⭐ 7

Short project completed at Insight Data Science as part of a consulting project with an e-commerce fashion company. Uses neural networks to embed text and images into high-d feature space in order to perform classification, and new-cluster discovery. Also prototypes an idea for recommendations.

Neural Vector Conceptualization

Doc2vec_cqadupstack ⭐ 7

Code for reproducing J Lau's doc2vec results on CQADupStack

Machine_learning_techniques ⭐ 7

Implementations and homeworks of two MOOCs courses (offered by Prof. Hsuan-Tien Lin)

Image Captioning ⭐ 7

Image Captioning is the process of generating textual description of an image.It uses both Natural language Processing and Computer Vision to generate the captions.

Semantic Similarity Extraction Using Word Vectors In Mahabharata Dataset ⭐ 7

Semantic similarity extraction using word vectors in Mahabharata dataset

Metabolic Ep ⭐ 7

Code and data for analysis of metabolic networks

Learning Word Vectors from Project Gutenberg Texts

Twitter_flu_tracking ⭐ 6

mathematical methods for neuroscience and machine learning

Ml Classification Of Vvbs ⭐ 6

Code to reproduce results of the paper "Machine learning-based classification of vector vortex beams"

Acquisition Prediction ⭐ 6

A machine learning approach to predict the acquisitions market

Worldmodels ⭐ 6

World Models code in Keras, using Charles' RNN-MDN

A library that converts words to vectors using PMI and SVD

Svm Stock Prediction ⭐ 6

Support Vector Machine Stock Market Prediction

Thesuperquestiontypetopicclassifier ⭐ 6

Using SVM to classify questions based on their type and topic

Determination Of Identity ⭐ 6

Caffe Siamese Network and Similarity by feature vector.

Doc2vec_cnn_rnn ⭐ 6

This program also does sentiment analysis on IMDB movie reviews, but the reviews are first preprocessed with gensim's Doc2Vec that takes each review and converts the words to vectors. The vectorized words are then inputted into a CNN to find invariant features, followed by an RNN to learn the states. Accuracy after ten iterations with each word represented by a 128-length vector was 90.09%.

Fruit_recognition ⭐ 6

Computer Vision and Image Processing: Fruit Classifier (Support Vector Machine vs KNN) using thresholding and Intensity Rescaling

Groundmotionclassifier ⭐ 6

A project to differentiate between earthquakes and blasting waves using Machine Learning.

Insight_api ⭐ 5

Backend of the API service for the Insight project

Linear Algebra for Machine Learning Book Exercises

Simple plate rotations, compatible with GPlates

Beatpd Clsp Jhu ⭐ 5

BeatPD-CLSP-JHU

Decart_advanced_python_2018 ⭐ 5

Q A System ⭐ 5

Chatbot that answers questions about linguistics

Videofacesummary ⭐ 5

makes a summary of faces seen in a video

Face Unlock ⭐ 5

Face Unlock with Deep Learning

Deep_nlp_pydata ⭐ 5

Python package for the paper "Global Vectors for Node Representation" (https://arxiv.org/pdf/1902.11004.pdf)

Deepvectorpolicyfields ⭐ 5

Codebase for learning Vector Policy Fields using Reinforcement Learning Networks.

RKHS feature vectors, operators, and statistical models using JAX for automatic differentiation

Recognizing Textual Entailment

Ml Code Snippets ⭐ 5

A collection of code snippets for Python and R machine learning modules.

Sentiment Analysis With Word Embeddings ⭐ 5

A Sentiment Analysis model in keras to analyse toxic comments online . The Corpus is preprocessed using Glove Word Embeddings .

Knu_datascience101 ⭐ 5

경북대학교 IT대학 컴퓨터학부 데이터과학기초(2018년2학기) 강의예제코드

Protein Dihedral Angles Prediction ⭐ 5

A hybrid approach to protein structure (dihedral / torsional angles) prediction using techniques from Mohammed AlQuraishi's work on End-to-end differentiable learning of protein structure and Gao et al. on RaptorX.

Ball Tree Rust ⭐ 5

Ball Tree implementation in Rust

Benchmark Word2vec Frameworks ⭐ 5

Benchmark popular Neural Networks frameworks for word2vec on different hardware platforms

Count Vector Paper Experiments ⭐ 5

experiments for the system calls sequences classification

Sdm Julia ⭐ 5

Julia implementation of Pentti Kanerva's sparse distributed memory.

Kaggle For Beginners ⭐ 5

通过实战经典题 titanic-data-science-solutions 入门 Kaggle

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