Pavel Zinovkin's starred repositories
annotated_deep_learning_paper_implementations
๐งโ๐ซ 60 Implementations/tutorials of deep learning papers with side-by-side notes ๐; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ๐ฎ reinforcement learning (ppo, dqn), capsnet, distillation, ... ๐ง
AI-For-Beginners
12 Weeks, 24 Lessons, AI for All!
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), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
comprehensive-rust
This is the Rust course used by the Android team at Google. It provides you the material to quickly teach Rust.
bulletproof-react
๐ก๏ธ โ๏ธ A simple, scalable, and powerful architecture for building production ready React applications.
iTerm2-Color-Schemes
Over 250 terminal color schemes/themes for iTerm/iTerm2. Includes ports to Terminal, Konsole, PuTTY, Xresources, XRDB, Remmina, Termite, XFCE, Tilda, FreeBSD VT, Terminator, Kitty, MobaXterm, LXTerminal, Microsoft's Windows Terminal, Visual Studio, Alacritty
tomorrow-theme
Tomorrow Theme
domain-driven-hexagon
Learn Domain-Driven Design, software architecture, design patterns, best practices. Code examples included
YubiKey-Guide
Guide to using YubiKey for GnuPG and SSH
manticoresearch
Easy to use open source fast database for search | Good alternative to Elasticsearch now | Drop-in replacement for E in the ELK soon
machine-learning-mindmap
A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
ML-Course-Notes
๐ Sharing machine learning course / lecture notes.
Production-Level-Deep-Learning
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
console
Redpanda Console is a developer-friendly UI for managing your Kafka/Redpanda workloads. Console gives you a simple, interactive approach for gaining visibility into your topics, masking data, managing consumer groups, and exploring real-time data with time-travel debugging.
Data-Science-Interview-Resources
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
simdjson-go
Golang port of simdjson: parsing gigabytes of JSON per second
deeplearning-mindmap
A mindmap summarising Deep Learning concepts.
monokai-pro-vscode
Issue tracking for Monokai Pro for Visual Studio Code