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883 search results found

Flowersvisiondemo ⭐ 87

🌸 iOS11 demo application for flower classification.

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

Mlr3learners ⭐ 85

Recommended learners for mlr3

Open source Python library for building bioimage analysis pipelines

Fast and explainable clustering in Python

python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.

[ICLR'19] Meta-learning with differentiable closed-form solvers

Betaml.jl ⭐ 83

Beta Machine Learning Toolkit

A sophisticated smart symptom search engine

Orbit Dataset ⭐ 82

The ORBIT dataset is a collection of videos of objects in clean and cluttered scenes recorded by people who are blind/low-vision on a mobile phone. The dataset is presented with a teachable object recognition benchmark task which aims to drive few-shot learning on challenging real-world data.

Image Classification By Keras And Tensorflow ⭐ 82

Image Classification using Keras as well as Tensorflow.

Papers and code related to 'Less Than One'-Shot (LO-Shot) Learning

Machinelearninglab ⭐ 80

Some experiments about Machine Learning

Rankpruning ⭐ 79

🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.

Stringlifier ⭐ 79

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.

Textfool ⭐ 79

Plausible looking adversarial examples for text classification

Python Machine Learning ⭐ 78

D-Lab's 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model selection using scikit-learn in Python.

Facies_classification_benchmark ⭐ 78

The repository includes PyTorch code, and the data, to reproduce the results for our paper titled "A Machine Learning Benchmark for Facies Classification" (published in the SEG Interpretation Journal, August 2019).

An efficient implementation of Partitioned Label Trees & its variations for extreme multi-label classification

Hyperspectral_image_analysis_simplified ⭐ 77

The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery.

Pytorch Rbm ⭐ 76

Restricted Boltzmann Machines (RBMs) in PyTorch

Practical 3 ⭐ 75

Oxford Deep NLP 2017 course - Practical 3: Text Classification with RNNs

Data Science Notes ⭐ 75

Open-source project hosted at https://makeuseofdata.com to crowdsource a robust collection of notes related to data science (math, visualization, modeling, etc)

Nn Scratch ⭐ 74

Coding up a Neural Network Classifier from Scratch

Deep Vision Processing ⭐ 74

Deep computer-vision algorithms for the Processing framework.

Counteract ⭐ 72

Brightening days through ML

Malware_api_class ⭐ 72

Malware dataset for security researchers, data scientists. Public malware dataset generated by Cuckoo Sandbox based on Windows OS API calls analysis for cyber security researchers

Ml_for_learner ⭐ 70

Implementations of the machine learning algorithm with Python and numpy

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

Machine Learning ⭐ 70

Music Genre Classification ⭐ 67

Recognizing the genre of music files using machine learning and deep learning models

Knowledge_evolution ⭐ 67

(CVPR-Oral 2021) PyTorch implementation of Knowledge Evolution approach and Split-Nets

Video Transformers ⭐ 67

Easiest way of fine-tuning HuggingFace video classification models

Ruby Scoring API for PMML

Weka Jruby ⭐ 65

Machine Learning & Data Mining with JRuby

Url Categorization Using Machine Learning ⭐ 65

Ml From Scratch ⭐ 64

ML From Scratch

Covid19 Literature Clustering ⭐ 63

An approach to document exploration using Machine Learning. Let's cluster similar research articles together to make it easier for health professionals and researchers to find relevant research articles.

Gatedtabtransformer ⭐ 63

A deep learning tabular classification architecture inspired by TabTransformer with integrated gated multilayer perceptron.

Ml2017fall ⭐ 63

Machine Learning (EE 5184) in NTU

Detecting Road Features ⭐ 63

Detecting Road Features: identifying lane and vehicles boundaries in a video.

Weather Prediction From Image ⭐ 62

ML project to predict weather condition in given image

exploratory data analysis using random forests

🔮 Symbolic regression library

Visualizingndf ⭐ 61

Official PyTorch implementation of "Visualizing the Decision-making Process in Deep Neural Decision Forest", CVPR 2019 Workshops on Explainable AI

Urban Region Function Classification ⭐ 61

Kaggle Rsna ⭐ 61

Deep Learning for Automatic Pneumonia Detection, RSNA challenge

Chicksexer ⭐ 60

A Python package for gender classification.

Esc Cnn Microcontroller ⭐ 60

Environmental Sound Classification on Microcontrollers using Convolutional Neural Networks

Stagewise Knowledge Distillation ⭐ 60

Code implementation of Data Efficient Stagewise Knowledge Distillation paper.

Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.

Model verification, validation, and error analysis

Udsmprot ⭐ 58

Protein sequence classification with self-supervised pretraining

Pixelda_gan ⭐ 58

Domain Adaptation using GAN

Napkinxc ⭐ 56

Extremely simple and fast extreme multi-class and multi-label classifiers.

Random Forest or XGBoost? It is Time to Explore LCE

Txtai.go ⭐ 56

Go client for txtai

Online Category Learning ⭐ 56

ML algorithm for real-time classification

Mljar Examples ⭐ 55

Examples how MLJAR can be used

Spatial modeling using machine learning concepts

Bayesianml ⭐ 55

Experiments in Bayesian Machine Learning

How To Train Your Neural Net ⭐ 55

Deep learning research implemented on notebooks using PyTorch.

Train Classifier From Scratch ⭐ 55

Machine Learning: Collect data online and train a classifier from scratch

Library of transfer learners and domain-adaptive classifiers.

Ffsvm Rust ⭐ 54

FFSVM stands for "Really Fast Support Vector Machine"

List of datasets and papers in X-ray security images (Computer vision/Machine Learning)

Kelp Full ⭐ 53

Auto ML for the tidyverse

CellO: Gene expression-based hierarchical cell type classification using the Cell Ontology

Immuneml ⭐ 53

immuneML is a platform for machine learning analysis of adaptive immune receptor repertoire data.

State space and deep generative models for time series.

Machine Learning For Security ⭐ 52

machine learning for security

Plantrecog ⭐ 52

Free Plant Recognition App + Public API + Models

Ml Cookbook ⭐ 52

Toolbox with machine learning algorithms and methods.

[NeurIPS 2018] Code for the paper "Binary Classification from Positive-Confidence Data"

Reliability Diagrams ⭐ 51

Reliability diagrams visualize whether a classifier model needs calibration

Chemometricstools.jl ⭐ 51

A collection of tools for chemometrics and machine learning written in Julia.

hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating the results on an independent validation set. hgboost can be applied for classification and regression tasks.

Machine Learning Andrewng Deeplearning.ai ⭐ 49

Contains all course modules, exercises and notes of ML Specialization by Andrew Ng, Stanford Un. and DeepLearning.ai in Coursera

Text Classification Baseline ⭐ 49

Pipeline for fast building text classification TF-IDF + LogReg baselines.

2017mlspring_hung Yi Lee ⭐ 48

Hung-Yi Lee ML 2017 Spring Homework

Sequentia ⭐ 48

HMM and DTW-based sequence machine learning algorithms in Python following an sklearn-like interface.

Rekcurd Python ⭐ 47

Project for serving ML module. This is a gRPC micro-framework.

Horus Ner ⭐ 47

HORUS: A framework to boost NLP tasks

Go Scoring API for PMML

Probabilistic question-asking system: the program asks, the users answer. The minimal goal of the program is to identify what the user needs (a target), even if the user is not aware of the existence of such a thing/product/service.

Vib Pytorch ⭐ 46

Pytorch implementation of Deep Variational Information Bottleneck

Liquidsvm ⭐ 45

Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-s

Dcase2016 Baseline System Python ⭐ 44

DCASE 2016 Baseline system, python implementation

A Persistent Weisfeiler–Lehman Procedure for Graph Classification

Book Genre Classification ⭐ 44

Classification of books based on titles without prior knowledge of context or author

Aiml Projects ⭐ 44

Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning

TiMBL implements several memory-based learning algorithms.

Awesome Feature Engineering ⭐ 43

A curated list of feature engineering techniques for image and text machine learning

Machine Learning ⭐ 43

machine learning examples in python

Tensorpy ⭐ 42

Easy Image Classification with TensorFlow

Predicting Myers Briggs Type Indicator With Recurrent Neural Networks ⭐ 41

Ml Algorithms Python ⭐ 41

This repository contains ML algorithms written in Python. 📚 🐍

Stylesvisiondemo ⭐ 41

🖼 iOS11 demo application for image style classification.

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