plato001's Stars
hse-ds/iad-deep-learning
Курс "Современные методы машинного обучения" на майноре ИАД
st-tech/zr-obp
Open Bandit Pipeline: a python library for bandit algorithms and off-policy evaluation
DataTalksClub/llm-zoomcamp
LLM Zoomcamp - a free online course about building a Q&A system
rasbt/LLMs-from-scratch
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
yandexdataschool/nlp_course
YSDA course in Natural Language Processing
yandexdataschool/deep_vision_and_graphics
Course about deep learning for computer vision and graphics co-developed by YSDA and Skoltech.
Hexlet/ru-test-assignments
Тестовые задания для самостоятельного выполнения от разных it компаний
girafe-ai/ml-course
Open Machine Learning course
GokuMohandas/mlops-course
Learn how to design, develop, deploy and iterate on production-grade ML applications.
chiphuyen/machine-learning-systems-design
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
stefan-jansen/machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
iusztinpaul/energy-forecasting
🌀 𝗧𝗵𝗲 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝟳-𝗦𝘁𝗲𝗽𝘀 𝗠𝗟𝗢𝗽𝘀 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 | 𝗟𝗲𝗮𝗿𝗻 𝗠𝗟𝗘 & 𝗠𝗟𝗢𝗽𝘀 for free by designing, building and deploying an end-to-end ML batch system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 2.5 𝘩𝘰𝘶𝘳𝘴 𝘰𝘧 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 & 𝘷𝘪𝘥𝘦𝘰 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴
Fraud-Detection-Handbook/fraud-detection-handbook
Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook
SimonBlanke/Gradient-Free-Optimizers
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
NameArtem/deployml_course
Репозиторий для открытого курса «Промышленная эксплуатация моделей машинного обучения»
kennethleungty/Anomaly-Detection-Pipeline-Kedro
Anomaly Detection Pipeline with Isolation Forest model and Kedro framework
xaviervasques/EEG-letters
reiinakano/scikit-plot
An intuitive library to add plotting functionality to scikit-learn objects.
rushter/MLAlgorithms
Minimal and clean examples of machine learning algorithms implementations
mljar/mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
DataTalksClub/machine-learning-zoomcamp
Learn ML engineering for free in 4 months!
fbaptiste/python-deepdive
Python Deep Dive Course - Accompanying Materials
feedzai/fairgbm
Train Gradient Boosting models that are both high-performance *and* Fair!
YKatser/Industrial-ML
An overview of cases, public datasets, books and academic papers related to applying ML in industrial applications
JuliaEvangelists/Julia-in-DS
Курс про основы Julia для применения в Data Science проектах.
netspractice/network-science
Practical assignments for the network science course
omriav/blended-latent-diffusion
Official implementation for "Blended Latent Diffusion" [SIGGRAPH 2023]
timothybrooks/instruct-pix2pix
PacktPublishing/The-Kaggle-Book
Code Repository for The Kaggle Book, Published by Packt Publishing
camenduru/controlnet-colab