FluidNC
candle
Our great sponsors
FluidNC | candle | |
---|---|---|
14 | 17 | |
1,363 | 13,475 | |
- | 8.3% | |
9.3 | 9.9 | |
3 days ago | about 2 hours ago | |
C++ | Rust | |
GNU General Public License v3.0 or later | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
FluidNC
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Building a DIY Pen Plotter
Grbl on ESP32 absolutely is a thing. I've been using it drive my robots for years. https://github.com/bdring/FluidNC
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Do $3-5k machines have an effortless way of storing and starting a routine request prompt?
Not that I'm aware. The closest I know is the FluidNC firmware https://github.com/bdring/FluidNC for ESP32 boards.
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ESP32-S3 SPI bus
According with this image from the espressif github there are some pins (35, 36, 37, 47, 48) with "SPI functions", and some others marked with the tags "FSPI" and "Subspi" (9-14, 35-38).
- Best pins for fastest SPI speed
- The Ant Queen
- Arduino 2560 can’t upload Grbl
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I have some a4988 stepper driver and esp 32 but no driver .How can i code for a diy cnc with these? What will be the instructions?
I use this one. WiFi access, upload gcode to SD card and fire the job. Pretty happy about that. I bought one of the boards they make, and they provide support for that so buying from them makes things easier. But there's more [supported hardware](https://github.com/bdring/FluidNC/wiki/Hardware-that-Runs-FluidNC). There are configurations ready for some of those cheap boards and a friend made one work out of the box.
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ESP32 Based 4 Axis CNC Control Board
You can see the firmware here and associated documentation here: https://github.com/bdring/FluidNC
- Klipper – open-source 3D Printer Firmware
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6 pack eps32 controller?
I've been looking at the tinybee since I need 4 axes and external driver support... I don't see it on the hardware that runs fluidNC page https://github.com/bdring/FluidNC/wiki/Hardware-that-Runs-FluidNC
candle
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karpathy/llm.c
Candle already exists[1], and it runs pretty well. Can use both CUDA and Metal backends (or just plain-old CPU).
[1] https://github.com/huggingface/candle
- Best alternative for python
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Is there any LLM that can be installed with out python
Check out Candle! It's a Deep Learning framework for Rust. You can run LLMs in binaries.
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Announcing Kalosm - an local first AI meta-framework for Rust
Kalosm is a meta-framework for AI written in Rust using candle. Kalosm supports local quantized large language models like Llama, Mistral, Phi-1.5, and Zephyr. It also supports other quantized models like Wuerstchen, Segment Anything, and Whisper. In addition to local models, Kalosm supports remote models like GPT-4 and ada embeddings.
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RFC: candle-lora
I have been working on a machine learning library called candle-lora for Candle. It implementes a technique called LoRA (low rank adaptation), which allows you to reduce a model's trainable parameter count by wrapping and freezing old layers.
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ExecuTorch: Enabling On-Device interference for embedded devices
[2] https://github.com/huggingface/candle/issues/313
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[P] Open-source project to run locally LLMs in browser, such as Phi-1.5 for fully private inference
We provide full local inference in browser, by using libraries from Hugging Face like transformers.js or candle for WASM inference.
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Update on the Candle ML framework.
We've first announced Candle, a minimalist ML framework in Rust 6 weeks ago. Since then we've focused on adding various recent models and improved the framework so as to support the necessary features in an efficient way. You can checkout a gallery of the examples, supported models include:
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Should I Haskell or OCaml?
How did you select those two as your options?
I'm just a hobbyist that enjoys programming, and I eventually wanted to expand beyond python. I looked at Haskell and read Learn You a Haskell and did some Exercism exercises but never got anywhere close to being able to use it for real projects. Have been trying to learn about Lisp lately and feel like I've come to a similar dead end.
On the other hand, both Go and Rust have felt fulfilling and practical, with static typing and solid tooling, cross compilations, static binaries, and dependency management that is just a huge breath of fresh air coming from python.
The ML / data science scene is nowhere near as developed as in Python, and I still lean on jupyter/polars/PyTorch here, but I think the candle project[0] seems very interesting. Compiling whisper down to a single CUDA-leveraging binary for fast local transcription is pretty cool!
[0]: https://github.com/huggingface/candle
- Minimalist ML framework for Rust
What are some alternatives?
grblHAL - This repo has moved to a new home https://github.com/grblHAL
Universal-G-Code-Sender - A cross-platform G-Code sender for GRBL, Smoothieware, TinyG and G2core.
grbl-Mega-5X - 5/6 Axis version of Grbl, the open source, embedded, high performance g-code-parser and CNC milling controller written in optimized C that will run on an Arduino Mega2560
burn - Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals. [Moved to: https://github.com/Tracel-AI/burn]
grbl-Mega - An open source, embedded, high performance g-code-parser and CNC milling controller written in optimized C that will run on an Arduino Mega2560
tch-rs - Rust bindings for the C++ api of PyTorch.
ESP32-S3-Platform - ESP32-S3 Development Board with SD-Card and versatile power management 5V and up to 12V
bCNC - GRBL CNC command sender, autoleveler and g-code editor
AccelStepper - Fork of AccelStepper
gsender - Connect to and control Grbl-based CNCs with ease
klipper - Klipper is a 3d-printer firmware
cncjs - A web-based interface for CNC milling controller running Grbl, Marlin, Smoothieware, or TinyG.