502 Open source projects that are alternatives of or similar to R2d2

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

Meta learning with BERT as a learner

3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.

Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')

提取图像的灰度共生矩阵（GLCM），根据GLCM求解图像的概率特征，利用特征训练SVM分类器，对目标分类

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"

There are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.

Hung-Yi Lee ML 2017 Spring Homework

MLBox is a powerful Automated Machine Learning python library.

This is the implementation of Sparse Projection Oblique Randomer Forest

DeText: A Deep Neural Text Understanding Framework for Ranking and Classification Tasks

X-ray Images (Chest images) analysis and anomaly detection using Transfer learning with inception v2

Machine Learning & Data Mining with JRuby

A high-level machine learning and deep learning library for the PHP language.

Memory efficient MAML using gradient checkpointing

R package to interface with OpenML

Multi-class confusion matrix library in Python

LSTM and CNN sentiment analysis

All kinds of neural text classifiers implemented by Keras

My Attempt(s) In The World Of ML/DL....

Graph meta learning via local subgraphs (NeurIPS 2020)

Stringlifier is on Opensource ML Library for detecting random strings in raw text. It can be used in sanitising logs, detecting accidentally exposed credentials and as a pre-processing step in unsupervised ML-based analysis of application text data.

Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"

Telegram Data Clustering contest solution by Mindful Squirrel

Classification schemes for choropleth mapping.

A 2-CNN pipeline to do both detection (using bounding box regression) and classification of numbers on SVHN dataset.

An open source framework for deep learning on satellite and aerial imagery.

Measure and visualize machine learning model performance without the usual boilerplate.

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

《深度学习与计算机视觉》配套代码

Deep-Atrous-CNN-Text-Network: End-to-end word level model for sentiment analysis and other text classifications

Julia package of loss functions for machine learning.

A MATLAB implementation of the TensorFlow Neural Networks Playground seen on http://playground.tensorflow.org/

TensorFlow 2.0 library for distributed training, evaluation, model selection, and fast prototyping.

Repo for Applied Text Mining in Python (coursera) by University of Michigan

Classification with PyTorch.

Dog and cat image classifier with deep learning

Implements the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, Weighted Tsetlin Machine, and Embedding Tsetlin Machine, with support for continuous features, multigranularity, and clause indexing

Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.

BGP Hijack Detection

A python implementation of C4.5 algorithm by R. Quinlan

Using A.I. and computer vision to build a virtual personal fitness trainer. (Most Startup-Viable Hack - HackNYU2018)

PHP-ML - Machine Learning library for PHP

FrostNet: Towards Quantization-Aware Network Architecture Search

Generalized Data-free Universal Adversarial Perturbations

[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

Classification for covid-19 chest X-ray images using Lightning

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.

Combine multiple MNIST digits to create datasets with 100/1000 classes for few-shot learning/meta-learning

A PyTorch Library for Meta-learning Research

Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

Deep Learning for Automatic Pneumonia Detection, RSNA challenge

A curated list of almost all machine learning algorithms and deep learning algorithms grouped by category.

Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo

ThunderSVM: A Fast SVM Library on GPUs and CPUs

simple rules engine

Web application for management formal representations of knowledge, like controlled vocabularies, taxonomies, thesauri and glossaries