Theaveas So's starred repositories

ImNodeFlow

Node based editor/blueprints for ImGui

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zkp-hmac-communication-go

"Zero-Knowledge" Proof Implementation with HMAC Communication in Go

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go-website-template

A good base for a Go web application.

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instructor_ex

Structured outputs for LLMs in Elixir

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codeium.vim

Free, ultrafast Copilot alternative for Vim and Neovim

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cabal

Official upstream development repository for Cabal and cabal-install

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haskell-course

This course is designed to teach non-engineers (e.g., self-taught/bootcamp coders) Haskell from zero to productive in an interactive, easy-to-follow way.

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design_patterns_in_typescript

:triangular_ruler: Design pattern implementations in TypeScript

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go-patterns

Curated list of Go design patterns, recipes and idioms

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angularjs-in-patterns

AngularJS in patterns - this repository provides different look into AngularJS. It contains information where different design patterns are used inside the framework or any Angular application.

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comprehensive-rust

This is the Rust course used by the Android team at Google. It provides you the material to quickly teach Rust.

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golang-cheat-sheet

An overview of Go syntax and features.

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awesome-serverless

DEPRECATED: Curated list of resources related to serverless computing and serverless architectures.

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Rust

All Algorithms implemented in Rust

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full-stack-todo-rust-course

wip - we are building this out now in prep for the real course

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reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

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deep-rl-class

This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.

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bullet3

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

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jaxton

100 exercises to learn JAX

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coursera-deep-learning-specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

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computer-science

🎓 Path to a free self-taught education in Computer Science!

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