orbit
candle
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orbit | candle | |
---|---|---|
4 | 17 | |
4,031 | 13,376 | |
1.8% | 8.3% | |
6.2 | 9.9 | |
10 days ago | 4 days ago | |
C++ | Rust | |
BSD 2-clause "Simplified" License | 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.
orbit
- Google/orbit – C/C++ Performance Profiler
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How come I can only see the main page on master branch?
If using the command line, just open gitk. If using GitHub, look under the network tab.
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Calculate Your Code Performance
What does a profiler actually do? A program profile gives the developer the ability to be able to measure both space and time complexity of their functions in their program. This is particularly important if your program has a major bottleneck causing slowdowns, which is especially disastrous if it is a system where many requests are made. An example of such a tool is orbit which can visualize the performance points in your program.
- Recommendations for per-frame profiling tools?
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?
tracy - Frame profiler
Universal-G-Code-Sender - A cross-platform G-Code sender for GRBL, Smoothieware, TinyG and G2core.
Candle - GRBL controller application with G-Code visualizer written in Qt.
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]
Akka - Build highly concurrent, distributed, and resilient message-driven applications on the JVM
tch-rs - Rust bindings for the C++ api of PyTorch.
benchmark - A microbenchmark support library
bCNC - GRBL CNC command sender, autoleveler and g-code editor
iMonitorSDK - 系统监控开发套件(sysmon、procmon、edr、终端安全、主机安全、零信任、上网行为管理、沙箱)
gsender - Connect to and control Grbl-based CNCs with ease
Microsoft Research Detours Package - Detours is a software package for monitoring and instrumenting API calls on Windows. It is distributed in source code form.
cncjs - A web-based interface for CNC milling controller running Grbl, Marlin, Smoothieware, or TinyG.