darknet | llama.cpp | |
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22 | 773 | |
25,292 | 56,891 | |
- | - | |
0.0 | 10.0 | |
about 1 month ago | 5 days ago | |
C | C++ | |
GNU General Public License v3.0 or later | MIT License |
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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
llama.cpp
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Better and Faster Large Language Models via Multi-Token Prediction
For anyone interested in exploring this, llama.cpp has an example implementation here:
https://github.com/ggerganov/llama.cpp/tree/master/examples/...
- Llama.cpp Bfloat16 Support
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Fine-tune your first large language model (LLM) with LoRA, llama.cpp, and KitOps in 5 easy steps
Getting started with LLMs can be intimidating. In this tutorial we will show you how to fine-tune a large language model using LoRA, facilitated by tools like llama.cpp and KitOps.
- GGML Flash Attention support merged into llama.cpp
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Phi-3 Weights Released
well https://github.com/ggerganov/llama.cpp/issues/6849
- Lossless Acceleration of LLM via Adaptive N-Gram Parallel Decoding
- Llama.cpp Working on Support for Llama3
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Embeddings are a good starting point for the AI curious app developer
Have just done this recently for local chat with pdf feature in https://recurse.chat. (It's a macOS app that has built-in llama.cpp server and local vector database)
Running an embedding server locally is pretty straightforward:
- Get llama.cpp release binary: https://github.com/ggerganov/llama.cpp/releases
- Mixtral 8x22B
- Llama.cpp: Improve CPU prompt eval speed
What are some alternatives?
yolov7 - Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
ncnn - ncnn is a high-performance neural network inference framework optimized for the mobile platform
gpt4all - gpt4all: run open-source LLMs anywhere
darknet - YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
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.
GPTQ-for-LLaMa - 4 bits quantization of LLaMA using GPTQ
tensorflow - An Open Source Machine Learning Framework for Everyone
ggml - Tensor library for machine learning
pytorch_nsfw_model - Pytorch model for NSFW classification with usage example
alpaca.cpp - Locally run an Instruction-Tuned Chat-Style LLM