reweighted-wsImplementation of the reweighted wake-sleep machine learning algorithm
Stars: ✭ 39 (+95%)
themis-mlA library that implements fairness-aware machine learning algorithms
Stars: ✭ 93 (+365%)
projection-pursuitAn implementation of multivariate projection pursuit regression and univariate classification
Stars: ✭ 24 (+20%)
fastMLA Python package built on sklearn for running a series of classification Algorithms in a faster and easier way.
Stars: ✭ 40 (+100%)
mirapyMiraPy: A Python package for Deep Learning in Astronomy
Stars: ✭ 40 (+100%)
artExploring the connections between artworks with deep "Visual Analogies"
Stars: ✭ 73 (+265%)
DA TutorialThis is a 'hands-on' tutorial for the RIKEN International School on Data Assimilation (RISDA2018).
Stars: ✭ 23 (+15%)
shellnetShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics
Stars: ✭ 80 (+300%)
ML-CourseraThis repository contains all the programming exercises in Python for the Coursera course called "Machine Learning" by Adjunct Professor Andrew Ng at Stanford University.
Stars: ✭ 66 (+230%)
PAPCPAPC is a deep learning for point clouds platform based on pure PaddlePaddle
Stars: ✭ 55 (+175%)
glossaryhttps://machinelearning.wtf/ - An online glossary of machine learning terms.
Stars: ✭ 28 (+40%)
SWBlogmachine learning practitioner, android and python
Stars: ✭ 33 (+65%)
COVID-CXNetCOVID-CXNet: Diagnosing COVID-19 in Frontal Chest X-ray Images using Deep Learning. Preprint available on arXiv: https://arxiv.org/abs/2006.13807
Stars: ✭ 48 (+140%)
CPGSteven C. Y. Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung Chen, Yi-Ming Chan, and Chu-Song Chen, "Compacting, Picking and Growing for Unforgetting Continual Learning," Thirty-third Conference on Neural Information Processing Systems, NeurIPS 2019
Stars: ✭ 91 (+355%)
neptune-examplesExamples of using Neptune to keep track of your experiments (maintenance only).
Stars: ✭ 22 (+10%)
Machine-LearningA repo to explain algorithm in machine learning with CHINESE
Stars: ✭ 24 (+20%)
EurekaTreesVisualizes the Random Forest debug string from the MLLib in Spark using D3.js
Stars: ✭ 37 (+85%)
pywedgeMakes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking
Stars: ✭ 49 (+145%)
CNN-SoilTextureClassification1-dimensional convolutional neural networks (CNN) for the classification of soil texture based on hyperspectral data
Stars: ✭ 35 (+75%)
Data-AnalysisDifferent types of data analytics projects : EDA, PDA, DDA, TSA and much more.....
Stars: ✭ 22 (+10%)
Seating ChartOptimizing a Wedding Reception Seating Chart Using a Genetic Algorithm
Stars: ✭ 25 (+25%)
Customer segmentationAnalysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to anticipate the purchases that will be made by a new customer, during the following year from its first purchase.
Stars: ✭ 80 (+300%)
urb-studies-predicting-gentrificationThis repo is intended to support replication and exploration of the analysis undertaken for our Urban Studies article "Understanding urban gentrification through Machine Learning: Predicting neighbourhood change in London".
Stars: ✭ 35 (+75%)
rmiA learned index structure
Stars: ✭ 51 (+155%)
stgPython/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)
Stars: ✭ 47 (+135%)
Python-Machine-Learning-FundamentalsD-Lab's 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model selection using scikit-learn and TPOT.
Stars: ✭ 46 (+130%)
oplOfficial repository for "Orthogonal Projection Loss" (ICCV'21)
Stars: ✭ 61 (+205%)
pytorch kmeansImplementation of the k-means algorithm in PyTorch that works for large datasets
Stars: ✭ 38 (+90%)
Predictive-Maintenance-of-Aircraft-EngineIn this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbofan engine.
Stars: ✭ 48 (+140%)
missRangerR package "missRanger" for fast imputation of missing values by random forests.
Stars: ✭ 42 (+110%)
caltech birdsA set of notebooks as a guide to the process of fine-grained image classification of birds species, using PyTorch based deep neural networks.
Stars: ✭ 29 (+45%)
car-OCR基于机器学习和OCR的车牌识别系统 @fujunhao
Stars: ✭ 39 (+95%)
HARRecognize one of six human activities such as standing, sitting, and walking using a Softmax Classifier trained on mobile phone sensor data.
Stars: ✭ 18 (-10%)
FineGrainedVisualRecognitionFine grained visual recognition tensorflow baseline on CUB, Stanford Cars, Dogs, Aircrafts, and Flower102.
Stars: ✭ 19 (-5%)
CRC4DockerPython scripts for the textbook "Image Analysis, Classification and Change Detection in Remote Sensing, Fourth Revised Edition"
Stars: ✭ 84 (+320%)
MLDay18Material from "Random Forests and Gradient Boosting Machines in R" presented at Machine Learning Day '18
Stars: ✭ 15 (-25%)
ScaleNetData-Driven Neuron Allocation for Scale Aggregation Networks
Stars: ✭ 53 (+165%)
genieGenie: A Fast and Robust Hierarchical Clustering Algorithm (this R package has now been superseded by genieclust)
Stars: ✭ 21 (+5%)
Competitive-Feature-LearningOnline feature-extraction and classification algorithm that learns representations of input patterns.
Stars: ✭ 32 (+60%)
OpencvInstallationshell script for openCV installation and configuration in linux based system. Most easy way to configue openCV, you only need to run opencv.sh shell file.
Stars: ✭ 16 (-20%)
textlyticsText processing library for sentiment analysis and related tasks
Stars: ✭ 25 (+25%)
CreditAn example project that predicts risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset.
Stars: ✭ 18 (-10%)
Focal Loss KerasMulti-class classification with focal loss for imbalanced datasets
Stars: ✭ 76 (+280%)
forestErrorA Unified Framework for Random Forest Prediction Error Estimation
Stars: ✭ 23 (+15%)
2020plusClassifies genes as an oncogene, tumor suppressor gene, or as a non-driver gene by using Random Forests
Stars: ✭ 44 (+120%)
linear-treeA python library to build Model Trees with Linear Models at the leaves.
Stars: ✭ 128 (+540%)
CLUE pytorchCLUE baseline pytorch CLUE的pytorch版本基线
Stars: ✭ 72 (+260%)
astrodashDeep learning for the automated spectral classification of supernovae
Stars: ✭ 25 (+25%)
Cat-Dog-CNN-ClassifierConvolutional Neural Network to classify images as either cat or dog, along with using attention heatmaps for localization. Written in python with keras.
Stars: ✭ 17 (-15%)