miskamvedebel

Python

All Algorithms implemented in Python

Made-With-ML

Learn how to design, develop, deploy and iterate on production-grade ML applications.

polars

Dataframes powered by a multithreaded, vectorized query engine, written in Rust

full-stack-fastapi-template

Full stack, modern web application template. Using FastAPI, React, SQLModel, PostgreSQL, Docker, GitHub Actions, automatic HTTPS and more.

llama2.c

Inference Llama 2 in one file of pure C

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

data-engineer-roadmap

Roadmap to becoming a data engineer in 2021

lime

Lime: Explaining the predictions of any machine learning classifier

ganhacks

starter from "How to Train a GAN?" at NIPS2016

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

spark-nlp

State of the Art Natural Language Processing

implicit

Fast Python Collaborative Filtering for Implicit Feedback Datasets

voice-over-translation

Небольшое расширение, которое добавляет закадровый перевод видео из YaBrowser в другие браузеры

Top2Vec

Top2Vec learns jointly embedded topic, document and word vectors.

tabnet

PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

www.mlcompendium.com

The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to expand my knowledge, it is now an open knowledge-sharing project compiled using Gitbook.

pytorch-segmentation

:art: Semantic segmentation models, datasets and losses implemented in PyTorch.

bayesoptbook.github.io

Companion webpage for the book "Bayesian Optimization" by Roman Garnett

kneed

Knee point detection in Python :chart_with_upwards_trend:

PyTorch-ENet

PyTorch implementation of ENet

datacontract-cli

CLI to manage your datacontract.yaml files

Texformer

"3D Human Texture Estimation from a Single Image with Transformers", ICCV 2021 Oral

pytorch-lanenet

LaneNet implementation in PyTorch

wise-pizza

A library to find and visualise the most interesting slices in multidimensional data

amazon-denseclus

Clustering for mixed-type data

lanenet-enet-hnet

SpiderNet