Steve Niafas's repositories
fosscomm22-democratize-ml
Democratize ML with Hugging Face workshop
photography-style-analysis
Photography style analysis using Deep (Active) Learning
DL-workshop-series
Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)
ML-Projects
A personal repository for experimental material and projects related to Machine Learning
RetBul-Core
A repo of image feature extraction & evaluation techniques
sniafas.github.io
Personal Webpage
fosscomm21-mlflow-in-practice
A repository to demonstrate mlfow basic usage for Fosscomm21 workshop
audio-diffusion
Apply diffusion models using the new Hugging Face diffusers package to synthesize music instead of images.
conky-setup
conky setup files
d2l-en
Interactive deep learning book with code, math, and discussions. Available in multi-frameworks. Adopted at 175 universities.
DareBlopy
Data Reading Blocks for Python
Data-science
Collection of useful data science topics along with code and articles
datasets
🎁 2,000,000+ Unsplash images made available for research and machine learning
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
DropoutUncertaintyExps
Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"
machine-learning-articles
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
mlflow
Open source platform for the machine learning lifecycle
netdata
Real-time performance monitoring, done right! https://my-netdata.io/
netdata_nv_plugin
NetData plugin for Nvidia GPU stats
plants-water
A toy deep learning project to predict plants and water
plotnine
A grammar of graphics for Python
python_ml_tutorial
A complete tutorial in python for Data Analysis and Machine Learning
scrapy
Scrapy, a fast high-level web crawling & scraping framework for Python.
sktime
A unified framework for machine learning with time series
tensorflow-bug-example
Jupyter notebook code for an issue I'm filing on Tensorflow git repo
the-art-of-command-line
Master the command line, in one page