Andrei Mardaryev's starred repositories
lightning-thunder
Make PyTorch models up to 40% faster! Thunder is a source to source compiler for PyTorch. It enables using different hardware executors at once; across one or thousands of GPUs.
annotated_deep_learning_paper_implementations
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
analytics-handbook
Getting started with soccer analytics
data-science
:bar_chart: Path to a free self-taught education in Data Science!
generative-ai-for-beginners
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
ollama-python
Ollama Python library
ML-YouTube-Courses
📺 Discover the latest machine learning / AI courses on YouTube.
FriendsDontLetFriends
Friends don't let friends make certain types of data visualization - What are they and why are they bad.
machine-learning
:earth_americas: machine learning tutorials (mainly in Python3)
ML_tricks_and_hacks
Куски кода и приемы, которые часто переиспользую
Complete-Data-Engineering
This repository contains everything you need to become proficient in Data Engineering
SEED_emotion_recognition_with_transfer_learning
EEG based emotion recognition using Transfer Learning and CNN model on SEED, SEED-IV and SEED-V
Clustering-with-LLM
A customer segmentation project can be approached in multiple ways. In this repository, we will explore advanced techniques for defining clusters and analyzing the results.
Intro-to-rnaseq-hpc-O2
This repository has teaching materials for a 2 and 3-day Introduction to RNA-sequencing data analysis workshop using the O2 Cluster
eeg-feature-generation
Generate statistical features from Electroencephalographic data
EEG-data-analysis-Course
EEG time-series data analysis including ERPs, time-frequency analysis, statistics and classification
NCC_and_LDA_classification
Nearest Centroid Classification and (Fisher's) Linear Discriminant Analysis for EEG signal classification. EEG signals taken from Brain Computer Interface, 310 features and 5322 samples of data.
Neural-Signal-Processing-Analysis
Python Implementation of the Matlab Problem Sets from MX Cohen's Neural Signal Processing Course
handwritingBCI
Code from the paper "High-Performance Brain-to-Text Communication via Handwriting"
awesome-ai-devtools
Curated list of AI-powered developer tools.
tricking-data-science
A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.
python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
datavisguide
Introductory guide to the art and science of data visualisation. Insights, advice, and examples (with code) to make data outputs more readable, accessible, and impactful.
lm-question-generation
Multilingual/multidomain question generation datasets, models, and python library for question generation.
computer-science
:mortar_board: Path to a free self-taught education in Computer Science!