296 Open source projects that are alternatives of or similar to QuantumForest

Code for Paper Abstract Writing through Editing Mechanism

Machine Learning models from scratch with a better visualisation

A minimal nmt example to serve as an seq2seq+attention reference.

Exploring attention weights in transformer-based models with linguistic knowledge.

Implementation of ABCNN(Attention-Based Convolutional Neural Network) on Pytorch

Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound

📈 Click-Through Rate Prediction using Logistic Regression and Tree Algorithms

💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA

Drug effect prediction using neural network

Implementations of machine learning algorithm by Python 3

Attention mechanism in CNNs to extract events of interest

An original implementation of "3HAN: A Deep Neural Network for Fake News Detection" (ICONIP 2017)

Deep-learning models of NTUA-SLP team submitted in SemEval 2018 tasks 1, 2 and 3.

Attention Gated VNet3D Model for KiTS19——2019 Kidney Tumor Segmentation Challenge

Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch

Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".

[CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.

Interactive GUI (developed in Python) for calibration and conditional verification of numerical weather prediction model outputs.

Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review

This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Spring 2020).

Arbitrary Style Transfer with Style-Attentional Networks

Visual Dialog: Light-weight Transformer for Many Inputs (ECCV 2020)

A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models.

This repo contains regression and classification projects. Examples: development of predictive models for comments on social media websites; building classifiers to predict outcomes in sports competitions; churn analysis; prediction of clicks on online ads; analysis of the opioids crisis and an analysis of retail store expansion strategies using…

Weakly Supervised End-to-End Learning (NeurIPS 2021)

Predict materials properties using only the composition information!

ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021

A Pytorch implementation of Attention on Attention module (both self and guided variants), for Visual Question Answering

codes for paper "Domain Attention Model for Multi-Domain Sentiment Classification"

Any-to-any voice conversion by end-to-end extracting and fusing fine-grained voice fragments with attention

No description or website provided.

[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings

Playground for implementing custom layers and other components compatible with keras, with the purpose to learn the framework better and perhaps in future offer some utils for others.

attention mechanism in keras, like Dense and RNN...

PyTorch implementation of AAAI 2021 paper: A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action Localization

Final project of IBM's course https://www.coursera.org/learn/machine-learning-with-python on coursera

Learnable Multi-level Frequency Decomposition and Hierarchical Attention Mechanism for Generalized Face Presentation Attack Detection

Implementation of Nyström Self-attention, from the paper Nyströmformer

Top 5th percentile solution to the Kaggle knowledge problem - Bike Sharing Demand

a collection of visualization function

Autonomous driving simulation in the Unity engine.

Predicting IPL match results. https://kuharan.github.io/IPL-ML-2018/

A prototype version of our submitted paper: Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creatives.

No description or website provided.

Implementation of Long-Short Transformer, combining local and global inductive biases for attention over long sequences, in Pytorch

[ICML 2021] A fast algorithm for fitting robust decision trees. http://proceedings.mlr.press/v139/vos21a.html

A list of data mining and machine learning papers that I implemented in 2019.

Implementation of the 😇 Attention layer from the paper, Scaling Local Self-Attention For Parameter Efficient Visual Backbones

Attention mechanism

Sentiment Analysis: Deep Bi-LSTM+attention model

Word Sense Disambiguation using Word Specific models, All word models and Hierarchical models in Tensorflow

Machine Learning University: Decision Trees and Ensemble Methods

🎨 🎨NLP 自然语言处理教程 🎨🎨 https://dataxujing.github.io/NLP-paper/

Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record

A tool for visualizing the structure and performance of Random Forests 🌳

Multigrid Neural Architecture

[TPAMI 2020] Parallax Attention for Unsupervised Stereo Correspondence Learning

🎬 Video Captioning: ICCV '15 paper implementation

eForest: Reversible mapping between high-dimensional data and path rule identifiers using trees embedding

Various implementations and projects on CNN, RNN, LSTM, GAN, etc