llm-classifier
Deep_Object_Pose
llm-classifier | Deep_Object_Pose | |
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4 | 3 | |
249 | 1,023 | |
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7.2 | 7.8 | |
5 months ago | 2 months ago | |
Python | Python | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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llm-classifier
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Lessons after a Half-billion GPT Tokens
We do this for the null hypothesis - is uses an LLM to bootstrap a binary classifier - which handles null easily
https://github.com/lamini-ai/llm-classifier
- FLaNK Stack 29 Jan 2024
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Good old-fashioned AI remains viable in spite of the rise of LLMs
LLMs introduced zero-shot learning, or “prompt engineering” which is drastically easier to use and more effective than labeling data.
You can also retrofit “prompt engineering” onto good old fashion ML like text classifiers. I wrote a library to do just that here: https://github.com/lamini-ai/llm-classifier
IMO, it’s a short matter of time before this takes over all of what used to be called “deep learning”.
- How to use a LLM to classify text
Deep_Object_Pose
- FLaNK Stack 29 Jan 2024
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6D object pose estimation by known 3d model
I've been doing some research in this area and there are a few deep learning solutions to this problem. For example, NVIDIA's Deep Object Pose Estimation will estimate the 6DOF pose of a known object. But you'll have to train the network if you want to detect a new object. PoseCNN, which someone else mentioned, does a similar thing. CenterPose is more interesting, as it can estimate then pose of an object from a known category; e.g. sneakers, or laptops, rather that one specific object (as DOPE and PoseCNN do).
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Machine Learning Workshop tonight 8-9pm hosted by Underwater Robotics!
For our last event of ArchE Week, the Ohio State Underwater Robotics Team (Website, Instagram) is hosting a workshop tonight on machine learning! The workshop is an interactive walkthrough of using machine learning solutions to make predictions. Some example problems we could be trying to solve are predicting a grade, predicting the weather, and the classic recognize a digit problem. Our team personally uses machine learning to do real-time object detection with YOLO and NVidia DOPE, so we may touch on that as well!
What are some alternatives?
ml-ferret
Hierarchical-Localization - Visual localization made easy with hloc
java-snapshot-testing - Facebook style snapshot testing for JAVA Tests
reor - Private & local AI personal knowledge management app.
PoseCNN-PyTorch - PyTorch implementation of the PoseCNN framework
heynote - A dedicated scratchpad for developers
CenterPose - Single-Stage Keypoint-based Category-level Object Pose Estimation from an RGB Image (ICRA 2022)
sendenv
2021_ML_Workshop - 2021 ML Workshop
llm-routing-agent - Agent that routes to different tools - LLM classifier SDK
iNeRF-public