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FURG
- Rio Grande, Brazil
- @alikolling
- https://br.linkedin.com/in/alikolling
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Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs
the resources I use to learn computer science in my spare time
Introduction to automated task planning using the Unified Planning library
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
Pytorch implementation of diffusion models on Lie Groups for 6D grasp pose generation https://sites.google.com/view/se3dif/home
Train transformer language models with reinforcement learning.
Fine-tune LLM agents with online reinforcement learning
A high-throughput and memory-efficient inference and serving engine for LLMs
MR.Q is a general-purpose model-free reinforcement learning algorithm.
Rex is a JAX-powered framework for sim-to-real robotics.
Awesome Equinox - A curated list of resources of https://github.com/patrick-kidger/equinox
Clean, minimal, accessible reproduction of DeepSeek R1-Zero
An educational resource to help anyone learn deep reinforcement learning.
An open-source library for GPU-accelerated robot learning and sim-to-real transfer.
A Wadler--Lindig pretty printer for Python
References on Optimal Control, Reinforcement Learning and Motion Planning
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
We are on a mission to make robotics available to the regular software engineers, by decoupling it from ROS and physical hardware.