Auto-GPT
ultralytics
| Auto-GPT | ultralytics | |
|---|---|---|
| 104 | 29 | |
| 72,359 | 24,831 | |
| - | 7.5% | |
| 9.8 | 9.8 | |
| about 1 year ago | 5 days ago | |
| Python | Python | |
| MIT License | GNU Affero General Public License v3.0 |
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.
Auto-GPT
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How I am catching up with AI
A few notable examples of these leaps in AI technology include GPT-3.5, GPT-4, ChatGPT, Midjourney, Dall-e 2, AutoGPT, and Github Next.
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How to install Auto-GPT on Mac
Why did you clone git clone https://github.com/Torantulino/Auto-GPT.git instead of https://github.com/Significant-Gravitas/Auto-GPT.git Does it matter?
- [Termux] Comment exécuter Auto-GPT sur Android?
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Don’t Build Your House on Someone Else’s Land
You can also use the API key with tools such as TypingMind and Auto-GPT.
- [Chatgptpro] Auto-GPT (intento de cĂłdigo abierto para hacer que GPT4 sea completamente autĂłnomo)
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[Machine Learning] [D] Que pensez-vous de ce problème sur Auto-GPT?
[https://github.com/torantulino/auto-gpt/issues/475
- [Chatgptpro] Auto-GPT (open source tente de rendre GPT4 entièrement autonome)
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How do I update Auto GPT ?
git clone --branch stable https://github.com/Torantulino/Auto-GPT.git $ git pull $ pip3 install -r requirements.txt
- [Singularity] Chaos GPT: Utilisation de l'auto-GPT pour créer un agent d'IA hostile mis sur la destruction de l'humanité
- FLiPN-FLaNK Stack Weekly for 17 April 2023
ultralytics
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How to analyze document layout by YOLO
YOLO is the most advanced vision detection model. It is maintained by Ultralytics, a leading computer vision team. The model is easy to train, evaluate, and deploy. Plus, its size is compact enough to run in a browser or on a smartphone.
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Mastering YOLOv10: A Complete Guide with Hands-On Projects
# Clone ultralytics repo git clone https://github.com/ultralytics/ultralytics # cd to local directory cd ultralytics # Install dependencies pip install -r requirements.txt
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The CEO of Ultralytics (yolov8) using LLMs to engage with commenters on GitHub
Yep, I noticed this a while ago. It posts easily identifiable ChatGPT responses. It also posts garbage wrong answers which makes it worse than useless. Totally disrespectful to the userbase.
https://github.com/ultralytics/ultralytics/issues/5748#issue...
- FLaNK Weekly 08 Jan 2024
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My kid sounds like ChatGPT, and soon yours might, too
There are obvious places it is being used that I have noticed organically. For instance, check out the answers in this repo:
https://github.com/ultralytics/ultralytics/issues/5748#issue...
If you read the answers there, the style of answering is always to repeat the question in a very specific way. Once you see it you can’t in-see it.
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Exploring Open-Source Alternatives to Landing AI for Robust MLOps
When browsing the state-of-the-art in object detection on Papers with Code, I found the YOLO model to be one of the most popular, accurate, and fastest. That being said, I would recommend having a look at Ultralytics, which provides the tools to evaluate, predict, and export the latest versions of YOLO models with only a few lines of code.
- Instance segmentation of small objects in grainy drone imagery
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Breaking the Myth: Object Detection Isn't Hard as Thought
YOLOv8 (You Only Look Once) is an open-source Computer Vision AI model released on January 10th, 2023. It’s called YOLO because it detects everything inside an image in a single pass. The new version can perform image detection, classification, instance segmentation, tracking, and pose estimation tasks.
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How I use "AI" to entertain my cat
Next, I needed to figure out, how can I access the stream, recognize an animal, then let Max know? There are tons of examples of recognizing an object via camera frames, but I ultimately found this python library called ultralytics that supports RTSP streams and classifying objects in the video frames using pre-built models. The docs looked like it would be pretty low effort, so after some experimentation, I was successful in having the ultralytics library recognize objects from my cheap camera!
What are some alternatives?
gpt4all - gpt4all: run open-source LLMs anywhere
segment-anything - The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
llama.cpp - LLM inference in C/C++
super-gradients - Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
JARVIS - JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
GroundingDINO - Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
AgentGPT - 🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.
yolo_tracking - BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
babyagi
yolov8_onnx_python - YOLOv8 inference using Python
SuperAGI - <⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.
Detic - Code release for "Detecting Twenty-thousand Classes using Image-level Supervision".