Reachy Mini Conversation App
🎤
96
Talk with Reachy Mini!
Hussain AL-ZADJALI
Gipsy727
YellowjacketGames's profile picture
Girinath11's profile picture
MYSTERIUMBLACKBOX's profile picture·
AI & ML interests
None yet
Recent Activity
liked a Space about 10 hours ago
pollen-robotics/reachy_mini_conversation_app liked a Space about 10 hours ago
pollen-robotics/reachy_mini_testbench liked a Space about 10 hours ago
pollen-robotics/reachy_mini_radioOrganizations
None yet
liked 10
Spaces about 10 hours ago
Reachy Mini Debug & CI Testbench
🔧
13
Debug and CI validation testbench for Reachy Mini
Reachy Mini Radio
📻
10
Listen to the radio with Reachy Mini !
Reachy Mini Coding Lab
🧪
9
Code yourself Reachy Mini's movements.
Reachy Mini Metronome
🎵
12
A metronome app for Reachy Mini
Marionette (Python)
🎭
19
Manually guide Reachy Mini, capture motion + sound!
Wake Me Up
👋
11
Your first app to test Reachy Mini features
Red Light Green Light
🚦
14
Play Red light Green light with Reachy Mini!
Reachy Mini Assembly Guide
👀
27
A step-by-step guide to assemble your Reachy Mini Wireless
Reachy Mini BETA Assembly Guide
👀
3
Step-by-step instructions to assemble Reachy Mini BETA
liked 3
Spaces about 1 month ago
liked a
model about 1 month ago
reacted to Csplk's post with 🚀 about 2 months ago
Post
2360
Was tinkering with a Daggr node generator script earlier today ( Csplk/DaggrGenerator )and started on a GUI for it for folks who are not comfy with writing code and like a GUI instead for something to motivate working on some Daggr stuff.
*Will have time later to keep working on it so don’t hesitate to comment with bugs or issues found if trying it out.*
Csplk/DaggrGenerator
Thanks @merve @ysharma @abidlabs and team daggr for making daggr :)
*Will have time later to keep working on it so don’t hesitate to comment with bugs or issues found if trying it out.*
Csplk/DaggrGenerator
Thanks @merve @ysharma @abidlabs and team daggr for making daggr :)
reacted to raincandy-u's post with 🔥😎 3 months ago
Post
3048
Introducing Rain-v2: Democratizing LLM training on gaming GPUs! ⚡
Following Rain-100M, we’re scaling up. Rain-v2 features a larger training dataset.
We’ve published a comprehensive blog covering the end-to-end journey—from raw data collection to rigorous evaluation and safety testing.
HF Repo: 🤗 raincandy-u/Rain-v2
Blog: 📚
https://angelkawaii.xyz/2026/01/29/rain-v2/
Special thanks to the open-source community and the SmolLM2 team for their foundational work! 🚀
HuggingFaceTB
SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model (2502.02737)
Following Rain-100M, we’re scaling up. Rain-v2 features a larger training dataset.
We’ve published a comprehensive blog covering the end-to-end journey—from raw data collection to rigorous evaluation and safety testing.
HF Repo: 🤗 raincandy-u/Rain-v2
Blog: 📚
https://angelkawaii.xyz/2026/01/29/rain-v2/
Special thanks to the open-source community and the SmolLM2 team for their foundational work! 🚀
SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model (2502.02737)
reacted to Javedalam's post with 👍🔥🚀 3 months ago
Post
3004
KittenTTS Nano — Tiny, Expressive, Practical
KittenTTS Nano is a lightweight, CPU-only text-to-speech model designed to prove that natural, expressive voices don’t require massive cloud stacks or GPUs. At roughly ~15M parameters, it runs fast on modest hardware, supports multiple expressive voices, and exposes simple controls for pacing and tone. This makes it ideal for edge devices, demos, and anyone who wants full control over TTS without latency, lock-in, or infrastructure overhead.
Try it here
Javedalam/KittenTTS
The model page
KittenML/kitten-tts-nano-0.2
KittenTTS Nano is a lightweight, CPU-only text-to-speech model designed to prove that natural, expressive voices don’t require massive cloud stacks or GPUs. At roughly ~15M parameters, it runs fast on modest hardware, supports multiple expressive voices, and exposes simple controls for pacing and tone. This makes it ideal for edge devices, demos, and anyone who wants full control over TTS without latency, lock-in, or infrastructure overhead.
Try it here
Javedalam/KittenTTS
The model page
KittenML/kitten-tts-nano-0.2
- 2 replies