Data-ScienceUsing Kaggle Data and Real World Data for Data Science and prediction in Python, R, Excel, Power BI, and Tableau.
Stars: ✭ 15 (+0%)
Unsupervised-Learning-in-RWorkshop (6 hours): Clustering (Hdbscan, LCA, Hopach), dimension reduction (UMAP, GLRM), and anomaly detection (isolation forests).
Stars: ✭ 34 (+126.67%)
50-days-of-Statistics-for-Data-ScienceThis repository consist of a 50-day program. All the statistics required for the complete understanding of data science will be uploaded in this repository.
Stars: ✭ 19 (+26.67%)
NTFk.jlUnsupervised Machine Learning: Nonnegative Tensor Factorization + k-means clustering
Stars: ✭ 36 (+140%)
prescription-outliersDDC-Outlier: Preventing medication errors using unsupervised learning
Stars: ✭ 18 (+20%)
pyMCRpyMCR: Multivariate Curve Resolution for Python
Stars: ✭ 55 (+266.67%)
topometryA comprehensive dimensional reduction framework to recover the latent topology from high-dimensional data.
Stars: ✭ 64 (+326.67%)
Video-Summarization-PytorchIMPLEMENT AAAI 2018 - Unsupervised video summarization with deep reinforcement learning (PyTorch)
Stars: ✭ 23 (+53.33%)
k8s-knative-gitlab-harborBuild container images with Knative + Gitlab + Harbor inside Kops cluster running on AWS
Stars: ✭ 23 (+53.33%)
anomalibAn anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
Stars: ✭ 1,210 (+7966.67%)
py ml utilsPython utilities for Machine Learning competitions
Stars: ✭ 29 (+93.33%)
sutton-barto-rl-exercises📖Learning reinforcement learning by implementing the algorithms from reinforcement learning an introduction
Stars: ✭ 77 (+413.33%)
enstopEnsemble topic modelling with pLSA
Stars: ✭ 104 (+593.33%)
dbscanDBSCAN Clustering Algorithm C# Implementation
Stars: ✭ 38 (+153.33%)
furnitureThe furniture R package contains table1 for publication-ready simple and stratified descriptive statistics, tableC for publication-ready correlation matrixes, and other tables #rstats
Stars: ✭ 43 (+186.67%)
leilaLibrería para la evaluación de calidad de datos, e interacción con el portal de datos.gov.co
Stars: ✭ 56 (+273.33%)
scHPFSingle-cell Hierarchical Poisson Factorization
Stars: ✭ 52 (+246.67%)
pmanA process management system written in python
Stars: ✭ 14 (-6.67%)
walkletsA lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).
Stars: ✭ 94 (+526.67%)
lfdaLocal Fisher Discriminant Analysis in R
Stars: ✭ 74 (+393.33%)
missComparemissCompare R package - intuitive missing data imputation framework
Stars: ✭ 31 (+106.67%)
Data-Science-101Notes and tutorials on how to use python, pandas, seaborn, numpy, matplotlib, scipy for data science.
Stars: ✭ 19 (+26.67%)
BIFI[ICML 2021] Break-It-Fix-It: Unsupervised Learning for Program Repair
Stars: ✭ 74 (+393.33%)
PCLNetUnsupervised Learning for Optical Flow Estimation Using Pyramid Convolution LSTM.
Stars: ✭ 29 (+93.33%)
torchxTorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and support for E2E production ML pipelines when you're ready.
Stars: ✭ 165 (+1000%)
protoProto-RL: Reinforcement Learning with Prototypical Representations
Stars: ✭ 67 (+346.67%)
SkeletonMergerCode repository for paper `Skeleton Merger: an Unsupervised Aligned Keypoint Detector`.
Stars: ✭ 49 (+226.67%)
ReductionWrappersR wrappers to connect Python dimensional reduction tools and single cell data objects (Seurat, SingleCellExperiment, etc...)
Stars: ✭ 31 (+106.67%)
ml-aiML-AI Community | Open Source | Built in Bharat for the World | Data science problem statements and solutions
Stars: ✭ 32 (+113.33%)
pymdeMinimum-distortion embedding with PyTorch
Stars: ✭ 420 (+2700%)
rl singing voiceUnsupervised Representation Learning for Singing Voice Separation
Stars: ✭ 18 (+20%)
acoustic-keyloggerPipeline of a keylogging attack using just an audio signal and unsupervised learning.
Stars: ✭ 80 (+433.33%)
online-course-recommendation-systemBuilt on data from Pluralsight's course API fetched results. Works with model trained with K-means unsupervised clustering algorithm.
Stars: ✭ 31 (+106.67%)
strollr2d icassp2017Image Denoising Codes using STROLLR learning, the Matlab implementation of the paper in ICASSP2017
Stars: ✭ 22 (+46.67%)
SESF-FuseSESF-Fuse: An Unsupervised Deep Model for Multi-Focus Image Fusion
Stars: ✭ 47 (+213.33%)
SimCLRPytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"
Stars: ✭ 65 (+333.33%)
amrOfficial adversarial mixup resynthesis repository
Stars: ✭ 31 (+106.67%)
scedarSingle-cell exploratory data analysis for RNA-Seq
Stars: ✭ 33 (+120%)
mmselfsupOpenMMLab Self-Supervised Learning Toolbox and Benchmark
Stars: ✭ 2,315 (+15333.33%)
VAENAR-TTSPyTorch Implementation of VAENAR-TTS: Variational Auto-Encoder based Non-AutoRegressive Text-to-Speech Synthesis.
Stars: ✭ 66 (+340%)
learnrExploratory, Inferential and Predictive data analysis. Feel free to show your ❤️ by giving a star ⭐
Stars: ✭ 64 (+326.67%)
kmppk-means clustering algorithm with k-means++ initialization.
Stars: ✭ 28 (+86.67%)
ParametricUMAP paperParametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep neural networks for representation and semi-supervised learning" (Sainburg, McInnes, Gentner, 2020).
Stars: ✭ 132 (+780%)
mirror-bert[EMNLP 2021] Mirror-BERT: Converting Pretrained Language Models to universal text encoders without labels.
Stars: ✭ 56 (+273.33%)