Skip to content
View altar31's full-sized avatar
11 followers · 23 following
  • France
  • 03:05 (UTC +01:00)

Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: YOLO

Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: YOLO

Block or report altar31

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
altar31/README.md
DeepDream DeepDream: Do neural networks dream ? [Inceptionism, Google Research 2015]

📫 Reach me

linkedin linkedin researchgate

About me 🧔‍♂️

  • PhD in Physics and former energy engineer
  • Amoung other things, i'm interested in solving complex problems, algorithms, database, AI,
    and software engineering
  • I'm a bike practitioner, jogger and traveler
  • I have an amazing wife and two cats

👨‍🔬 Science

My main research interests are :

  • Machine/Deep learning algorithms
  • Generative/ Agentic AI
  • Database System
  • Scientific Computing and numerical modeling

Damien's github stats

Visitors count



Pinned Loading

  1. agno agno Public

    Forked from agno-agi/agno

    Build, run, manage agentic software at scale.

    Python

  2. polars polars Public

    Forked from pola-rs/polars

    Extremely fast Query Engine for DataFrames, written in Rust

    Rust

  3. postgres postgres Public

    Forked from postgres/postgres

    Mirror of the official PostgreSQL GIT repository. Note that this is just a *mirror* - we don't work with pull requests on github. To contribute, please see https://wiki.postgresql.org/wiki/Submitti…

    C

  4. 12-factor-agents 12-factor-agents Public

    Forked from humanlayer/12-factor-agents

    What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?

    TypeScript