andrekos
Data science and machine learning professional. PhD in Mathematics and Statistics, Monash University, Australia.
@yreceiptsMelbourne
andrekos's Stars
qingsongedu/time-series-transformers-review
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
thunderclient/thunder-client-support
Thunder Client is a lightweight Rest API Client Extension for VS Code.
vaexio/vaex
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
iterative/dvc
🦉 Data Versioning and ML Experiments
facebookresearch/semi-supervised-ImageNet1K-models
Semi-supervised ImageNet1K models
facebookresearch/Kats
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
argenos/nldates-obsidian
Work with dates in natural language in Obsidian
Aidurber/obsidian-plugin-dynamic-toc
An Obsidian plugin for creating Tables of Contents that stay updated with your document
timeseriesAI/tsai
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
huggingface/pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
MaxHalford/prince
:crown: Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA
MaxHalford/sorobn
🧮 Bayesian networks in Python
online-ml/beaver
🦫 MLOps for (online) machine learning
mgmeyers/obsidian-list-callouts
Create callouts in lists in Obsidian.
yiyixuxu/polyloss-pytorch
Implementing PolyLoss in Pytorch
d2l-ai/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
graviraja/MLOps-Basics
tensorflow/model-analysis
Model analysis tools for TensorFlow
tensorflow/data-validation
Library for exploring and validating machine learning data
mlrun/mlrun
MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.
javalent/admonitions
Adds admonition block-styled content to Obsidian.md
obsidian-community/obsidian-full-calendar
Keep events and manage your calendar alongside all your other notes in your Obsidian Vault.
twibiral/obsidian-execute-code
Obsidian Plugin to execute code in a note.
JuliaComputing/pluto-vscode
Pluto inside a VS Code Webview, WIP
ofajardo/pyreadr
Python package to read and write R RData and Rds files into/from pandas dataframes. No R or other external dependencies required.
DataTalksClub/mlops-zoomcamp
Free MLOps course from DataTalks.Club
PrefectHQ/prefect
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
blacksmithgu/obsidian-dataview
A data index and query language over Markdown files, for https://obsidian.md/.
GoogleCloudPlatform/data-science-on-gcp
Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
ZFTurbo/Weighted-Boxes-Fusion
Set of methods to ensemble boxes from different object detection models, including implementation of "Weighted boxes fusion (WBF)" method.