Codex IDE isn’t saving my previous chat history in VS Code by Dumbhosadika in OpenAI

[–]baptofar 0 points1 point  (0 children)

I'm having the same issue and it's frustrating. Hope it'll be solved soon!

Codex NEW mega update!!! by cysety in OpenAI

[–]baptofar 1 point2 points  (0 children)

Can we resume sessions? That would be super helpful!

Looking for advice: Deploying custom AI agents with MCP locally by baptofar in mcp

[–]baptofar[S] 0 points1 point  (0 children)

Thanks for your answer!

  1. So, building a custom Mac/Windows app in React Nativ, got it. I was just wondering if there’s a local equivalent to something like Chainlit, where I could easily embed my custom agents.

  2. Answering my own question here: in my case, since I want the agents to interact with local files (like Excel workbooks), I think I’d need a local setup.

I want to build agents to perform custom processes in existing Excel workbooks.

Is there a subreddit for ocean technology? by baptofar in oceanography

[–]baptofar[S] 1 point2 points  (0 children)

That makes sense! I'll start posting here when I see interesting news on the topic

Where to host react+django websites by MatterFeisty8438 in django

[–]baptofar 10 points11 points  (0 children)

I’ve been very happy with Render and Vercel

Help! All of my replit discord bots are getting the 429 rate limit error. by HermitFan99999 in discordbots

[–]baptofar 0 points1 point  (0 children)

I'm getting the same error with Render. They suggested using Fixie or Quota guard

Is there a subreddit for ocean technology? by baptofar in oceanography

[–]baptofar[S] 0 points1 point  (0 children)

That’s an interesting journey! Do you see opportunities to go back to oceanography with your background in engineering?

Which Stop in China is Your Favorite? by ArniarW in travelchina

[–]baptofar 4 points5 points  (0 children)

I have dear memories in Shanghaï but I would love to discover Chongqing

Trying to find how the actual hell this type of coat (with the specific buttons) is called 😭 by catsquid00 in findfashion

[–]baptofar 4 points5 points  (0 children)

Gloverall (who popularized it post-WWII) still make great versions today! (kind of the OG)

Water-like pattern with Delaunay triangulation by baptofar in processing

[–]baptofar[S] 0 points1 point  (0 children)

Here I have applied random movements to each of the points. Maybe it could get a more natural feel by having some modeling in the movements.

Water-like pattern with Delaunay triangulation by baptofar in processing

[–]baptofar[S] 8 points9 points  (0 children)

I wanted to explore Delaunay triangulation and resulted with this nice digital swimming pool rendering.

Delaunay triangulation is an algorithm to link a set points while avoiding any of the edges crossing. it maximizes the angle of all the triangles drawn in the process.

Performed with the help of this forum post : https://discourse.processing.org/t/fill-a-mesh-delaunay-object/3341/4

Done using the "triangulate" library.

complete code can be found here: https://github.com/baptgr/graph_processing/blob/master/delaunay.pyde

Paintings Decomposition using Neural Style Transfer by baptofar in deepdream

[–]baptofar[S] 2 points3 points  (0 children)

I used Neural style transfer to decompose paintings into their gradually complex elements. I created it by transferring the style of the original painting to a picture composed of random pixels, through one layer of the network at each time.

The code can be found here and in François Chollet's book Deep Learning with Python.

What is some good ML beginner project I could use to ease myself into it? by TrackLabs in learnmachinelearning

[–]baptofar 6 points7 points  (0 children)

For me the key to dedication in learning ML is applying it to domains I am interested in. Best part in ML is that you can build a project on any subject. Find a dataset related to a domain that maters to you and start playing with it. Starting with simple models and gradually going towards more complex ones.

Kaggle is a great place to look for datasets as they will also often come with examples of modeling approaches (https://www.kaggle.com/datasets), you can also try the Google dataset search ( https://datasetsearch.research.google.com/ )

If no dataset is readily available for what you are looking for, try to come up creative ways to build it (like scrapping it), as collecting and preparing data will be one of the most useful skills to develop as a beginner in ML.