llama_cpp.rb
darknet
| llama_cpp.rb | darknet | |
|---|---|---|
| 2 | 22 | |
| 143 | 25,334 | |
| - | - | |
| 9.6 | 0.0 | |
| 8 days ago | 8 days ago | |
| C++ | C | |
| MIT License | GNU General Public License v3.0 or later |
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llama_cpp.rb
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Llama.cpp: Full CUDA GPU Acceleration
Python sits on the C-glue segment of programming languages (where Perl, PHP, Ruby and Node are also notable members). Being a glue language means having APIs to a lot of external toolchains written in not only C/C++ but many other compiled languages, APIs and system resources. Conda, virtualenv, etc. are godsend modules for making it all work, or even better, to freeze things once they all work, without resourcing to Docker, VMs or shell scripts. It's meant for application and DevOps people who need to slap together, ie, ML, Numpy, Elasticsearch, AWS APIs and REST endpoints and Get $hit Done.
It's annoying to see them "glueys" compared to the binary compiled segment where the heavy lifting is done. Python and others exist to latch on and assimilate. Resistance is futile:
https://pypi.org/project/pyllamacpp/
https://www.npmjs.com/package/llama-node
https://packagist.org/packages/kambo/llama-cpp-php
https://github.com/yoshoku/llama_cpp.rb
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Could I get a suggestion for a simple HTTP API with no GUI for llama.cpp?
Ruby: yoshoku/llama_cpp.rb
darknet
- Llama.cpp: Full CUDA GPU Acceleration
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How to identify a senior developer
This reminds me of the resume for the guy who made darknet https://pjreddie.com/darknet/
- Anyone taking CS8803-O15: Computing Law?
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I can’t take this paper seriously anymore
Love the darknet (also made by him) github. Like what is this?
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YoloV7 Finally an official Yolo. This should actually be V5
I don’t know, the OG author seemed pretty lax on its use based on the license.
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I think this needs a post of its own
In that case you're sure to enjoy this one.
- Avoid negative output from yolo model
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Is there a functioning neural netowork or backbone written in pure C language only?
Literally the first google link dude… https://github.com/pjreddie/darknet
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Face Recognition
Election of tools: you should define if you are going to use machine/deep learning methods or classical approaches such as the Viola-Jones algorithm. I will recommend you to use ML/DL with TensorFlow (Object Detection API) or Darknet (YOLO).
- Show HN: An AI program to check videos for NSFW content
What are some alternatives?
go-llama.cpp - LLama.cpp golang bindings
yolov7 - Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
llama.cpp-dotnet - Minimal C# bindings for llama.cpp + .NET core library with API host/client.
ncnn - ncnn is a high-performance neural network inference framework optimized for the mobile platform
LLamaSharp - A C#/.NET library to run LLM models (🦙LLaMA/LLaVA) on your local device efficiently.
darknet - YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
flake - A Nix flake for many AI projects
tensorflow - An Open Source Machine Learning Framework for Everyone
llama-cpp.el - A client for llama-cpp server
labelImg - LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.
llama-go - Port of Facebook's LLaMA (Large Language Model Meta AI) in Golang with embedded C/C++
pytorch_nsfw_model - Pytorch model for NSFW classification with usage example