Marko Vukovic's Projects
The Abstraction and Reasoning Corpus
Go ahead and axolotl questions
Nx-powered Neural Networks
Bandit is a pure Elixir HTTP server for Plug & WebSock applications
Notebooks about Bayesian methods for machine learning
Open-source content management system (CMS) built with Phoenix LiveView. Faster render times to boost SEO performance, even for the most content-heavy pages.
BEAM ecosystem blog built with Phoenix.
A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.
BIP32 & BIP44 Implementation in Elixir (Multi-Account Hierarchy for Deterministic Wallets)
Pre-trained Neural Network models in Axon (+ 🤗 Models integration)
Minimal Elixir application that can host AI models on Fly.io GPUs and make them available via WireGuard to remote clustered Elixir applications for improved development experiences.
Modification of Ruby's byesig VSCode extension to hide Elixir typespecs.
This is the Rust course used by the Android team at Google. It provides you the material to quickly teach Rust to everyone.
ets based key/value cache with row level isolated writes and ttl support
Code repo for "Most Language Models can be Poets too: An AI Writing Assistant and Constrained Text Generation Studio" at the (CAI2) workshop, jointly held at (COLING 2022)
⏩ Continue enables you to create your own AI code assistant inside your IDE. Keep your developers in flow with open-source VS Code and JetBrains extensions
The fast.ai course notebooks
course.fast.ai 2022 part 2
Anthropic's educational courses
Free Data Engineering course!
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
All of Aztec's workshops, resources, tutorials, ideas, and useful tools
Django 4 by example, published by Packt
Coursework for Dockyard Academy.
[ICML2024] Official PyTorch implementation of DoRA: Weight-Decomposed Low-Rank Adaptation
Dora, the TipsetExplorer. A The Graph-like indexer for the FEVM.
DSPy: The framework for programming—not prompting—foundation models
Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent