AI · alternatives · 2026
24 alternatives to Federation of robots collaboratively train an object manipulation model
This is a quickstart example using LeRobot and Flower that demonstrates how to train a diffusion model collaboratively across 10 individual nodes (each with its own dataset). This example uses the push-t dataset, where the task is to move a letter T object on top of another that is to remain static. The example it's pretty easy to run, and can do so efficiently if you have access to a recent gaming GPU. Although the diffusion model only take 2GB of VRAM (of course you can decide to scale it up), the compute needed to train them isn't negligible. For context, running the example until…
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
- 1OR
Hi all, excited to share our latest work, OK-Robot, which is an open and modular framework to perform navigation and manipulation with a robot assistant in practically any homes without having to teach the robot anything new! You can simply unbox the target robot, install OK-Robot, give it a "scan" (think a 60 second iPhone video), and start asking the robot to move arbitrary things from A to B. We already tested it out in 10 home environments in New York city, and one environment each in Pittsburgh and Fremont. We based everything off of the current best machine learning models, and so…
2024 · ok-robot.github.io · its alternatives →
- 2TY
I've had a blast playing with stable diffusion and I see all the potential it will bring to us. I released a service for training your model, just upload 20-30 images and you can have a model of someone or some object doing anything. You can train one model for free a month in a slower queue or you can train many models on a fast queue and with other features for a fee. Here is an example of using it for show product placement: https://app.88stacks.com/image/O6kReClOvrz7 and here is an example of using it for people:…
2022 · 88stacks.com · its alternatives →
- 3
Open Prompts is the dataset used to build krea.ai. The data comes from the Stability AI Discord and includes around 10M images from 2M prompts. You can use it for creating semantic search engines of prompts, training LLMs, fine-tuning image-to-text models like BLIP, or extracting insights from the data—like the most common combinations of modifiers.
2022 · github.com · its alternatives →
- 4
RL-training an AI agent to RL-train AI agents. Contribute to Danau5tin/ai-trains-ai development by creating an account on GitHub.
Jul 2026 · github.com · its alternatives →
- 5
Hello everyone! I've been working on this project for a few months as part of my thesis in Machine Learning. It's meant to be a library that provides an easy-to-use but flexible API to design and train Diffusion Models. I decided to make it because I wanted to quickly prototype a Diffusion Model but there were no good tools to do it with. I think it really can help people prototype their own Diffusion Models a lot faster and only in a few lines of code. The base idea is to have a Model class that takes different modules corresponding to the different aspects of the Diffusion Model process…
2023 · github.com · its alternatives →
- 6IB
We wanted to do something very challenging to prove to ourselves that we can do anything we put our mind to. The reasoning for why we chose to build a toy TPU specifically is fairly simple: - Building a chip for ML workloads seemed cool - There was no well-documented open source repo for an ML accelerator that performed both inference and training None of us have real professional experience in hardware design, which, in a way, made the TPU even more appealing since we weren't able to estimate exactly how difficult it would be. As we worked on the initial stages of this project, we…
2025 · tinytpu.com · its alternatives →
- 7
Opper AI▲229Hey HN! After the Car Wash Test post got quite a big discussion going (400+ comments, https://news.ycombinator.com/item?id=47128138), I spent the past few weeks building a tool so anyone can run these kinds of questions and get structured results. No signup and free to use. You type a question, define answer options, pick up to 50 models at a time from a pool of 200+, and they all answer independently under identical conditions. No system prompt, structured output, same setup for every model. You can also run a debate round where models see each other's reasoning and get a…
Jul 2026 · opper.ai · its alternatives →
- 8
I previously posted this a month and a half ago: https://news.ycombinator.com/item?id=45876742 I have rewritten it to be much more simple, from 951 lines of code to just 364, with no loss in core functionality or generation quality. I also added a tiny GPT implementation as a comparison (inspired by Andrej Karpathy's code). The two model implementations are ~80% identical, with the core differences being the generate and get_batch functions. The model architecture, training loop, etc, differ in only 19 lines of code. Trained weights are included, so you can just clone and run…
Nov 2025 · github.com · its alternatives →
- 9
Seed Diffusion▲158A faster, more holistic way to generate code
2025 · seed.bytedance.com · its alternatives →
- 10
Train robot brains without demos on one GPU
Jun 2026 · app.notion.com · its alternatives →
- 11
Lately a friend of mine has been working on a personal project and I wanted to share it. The goal of Diffulab is to provide a flexible and modular framework for training diffusion models from scratch. The project is still in its early stages, and he is actively working on adding new features and improvements.
2025 · github.com · its alternatives →
- 12
autoresearch@home is a collaborative research collective where AI agents share GPU resources to collectively improve a language model. Think SETI@home, but for model training. How it works: Agents read the current best result, propose a hypothesis, modify train.py, run the experiment on your GPU, and publish results back. When an agent beats the current best validation loss, that becomes the new baseline for every other agent. Agents learn from great runs and failures, since we're using Ensue as the collective memory layer. This project extends Karpathy's autoresearch by adding the missing…
Mar 2026 · ensue-network.ai · its alternatives →
- 13
Talk to Static, a public AI shared by everyone. There are no separate copies: what it learns from one conversation can shape another.
Aug 2026 · wildstatic.com · its alternatives →
- 14
Everything that would be here is in the README. I hope this gets big, it has tons of potential.
2013 · github.com · its alternatives →
- 15
Hello HN! I would like to show our recent research project: DynamiCrafter. DynamiCrafter can animate open-domain still images based on text prompt by leveraging the pre-trained video diffusion priors. It supports: - Image-to-video generation - Storytelling video generation - Looping video generation - Generative frame interpolation We have released source code at https://github.com/Doubiiu/DynamiCrafter and deployed a demo at https://huggingface.co/spaces/Doubiiu/DynamiCrafter Please also refer to…
2023 · github.com · its alternatives →
- 16
I tried to train text to video and image to video models to generate 2D game animations. I used public game animation data and 3D mixamo model rendered animations to train the animation generation models. I'm open sourcing the model, training data, training code and data generation code. More technical details can be found in my blog (https://www.gavinliblog.com/posts/godmodeanimation).
2024 · github.com · its alternatives →
- 17
It's our new text-to-image model: a 9.3B single-stream diffusion transformer trained entirely from scratch. We focused heavily on controllability through structured JSON prompts, with strong text rendering, spatial awareness through bounding box guidance, and color palette control. It has the best text rendering of any open-weight model we've tested so far, and the NF4 quantized checkpoint runs on a single 24GB GPU. For more technical details and examples see our blog post: https://ideogram.ai/blog/ideogram-4.0/ We will be happy to answer any questions :)
Jun 2026 · github.com · its alternatives →
- 18BH
Try the demo here: https://llm-trajectory.boesch.dev/ This is a write-up of a system I designed at a previous job. It's a natural language interface for industrial robots. The demo runs MuJoCo in the browser via WASM. The demo uses a free-tier LLM API with rate limiting, so it might be slow or unavailable under load, but feel free to check out the code and hook up your own inference service: https://github.com/Encrux/llm_trajectory
Apr 2026 · boesch.dev · its alternatives →
- 19
Hello HN! We have released a major update of our image-to-video diffusion model, DynamiCrafter, with better dynamic, higher resolution, and stronger coherence. DynamiCrafter can animate open-domain still images based on text prompt by leveraging the pre-trained video diffusion priors. Please check our project page and paper for more information. We will continue to improve the model's performance. Comparisons with Stable Video Diffusion and PikaLabs can be found at https://www.youtube.com/watch?v=0NfmIsNAg-g Online demo:…
2024 · github.com · its alternatives →
- 20
Minimal, readable LLM post-training experiments on one 8GB GPU. Measures forgetting, seed variance, and RL emergence. - pochenai/nano-llm-posttraining
Aug 2026 · github.com · its alternatives →
- 21SD
Hey folks, Check out a project I built over the past few days .. a lego mindstorms robot that autonomously drives around a track using vision/neural networks. It was coded entirely in Python. I did a short write-up and would love to get feedback. link: http://slowping.com/2012/self-driving-lego-mindstorms-robot/
2012 · slowping.com · its alternatives →
- 22
A file-based protocol for multi-agent AI workflows — portable, auditable, human-in-command. Cross-agent communication and persistent shared memory across runtimes, projects, and machines. No daemons, no central server.
May 2026 · oacp.dev · its alternatives →
- 23FS
Deploy and serve machine learnings models performantly, scalably, and cost-efficiently with Baseten.
2022 · app.baseten.co · its alternatives →
- 24Showcase▲8
Hey HN, I'm Martino and I built Showcase to solve a problem my team kept hitting: we'd have these incredibly useful ChatGPT conversations with tons of context built up, but there was no good way to bring teammates in without copying/pasting everything or starting over. What makes it different: Real-time collaboration - Multiple people can chat with AI simultaneously, seeing each other's prompts and responses live 180+ models - Compare responses across Claude, GPT-4, Gemini, and others in the same conversation Rich media support - Upload videos, audio files, PDFs, spreadsheets, code,…
2025 · showcase.thytus.com · its alternatives →
Also compare
- OK-Robot: open, modular home robot framework for pick-and-drop anywhere alternatives
- Train your own image generator (Stable Diffusion) for free alternatives
- Open Prompts – dataset of 10M Stable Diffusion generations alternatives
- I RL-trained an agent that trains models with RL (for ~$1.3k) alternatives
- Modular Diffusion – A modular Python library for diffusion models alternatives
- I built a toy TPU that can do inference and training on the XOR problem alternatives
Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →