Newest Questions
12,769 questions
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How to train a neural network with a non-differentiable linear program in the loss?
I am currently trying to train a neural network to predict certain input parameters for a linear program based on an input dataset of system measurements related to these parameters. The workflow is ...
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Python GraphRag retrieval: Is using the embedded user's question when querying the data from graph good or bad?
I'm following a tutorial about using GraphRAG Python library to answer user's questions about actors who acted in the movies that match some specific description. The approach is to embed the user's ...
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why aren't my Training and validation losses do not reduce when fine-tuning ViTPose from huggingface
I am trying to fine-tune a transformer/encoder based pose estimation model available here at: https://huggingface.co/docs/transformers/en/model_doc/vitpose
When passing "labels" attribute to ...
- 101
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Synthetic to real image conversion for Pose Estimation
i have synthetic images of poses and that data is being used for trainig a pose estimatioon model, what i want is that i want to convert it to real images, meanig that the people appear real in it, i ...
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MATLAB implementation of Manifold-PBO algorithm producing different Monte Carlo simulation convergence results than paper
I'm trying to replicate the results from a paper that uses the Manifold-PBO algorithm in a Monte Carlo simulation, but my implementation is producing significantly different convergence curves ...
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How to use my neo4j KG in Dify?
I am trying to build a RAG with Dify, and as it is expected to handle hopping questions.
As a POC, I try to use Illama to parse my documents and build a knowledge graph (KG) in my local neo4j ...
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Machine Learning model best design setup
I'm looking for the best design based on the following requirements. I'd appreciate an explanation of a possible high level route I can follow.
I need to deploy an Image classifier that takes in an ...
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Why is DecisionTree using same feature and same condition twice
When trying to fit scikit-learn DecisionTreeClassifier on my data, I am observing some weird behavior.
x[54] (a boolan feature) ...
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Model or LLM that is fast enough to describe an image in detail
The heading might be little weird, but let's get on the point.
I made an chat-bot like application where user can upload video and cant chat/ask anything about the video content, just like we talk to ...
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Forward chaining proves D but backward chaining does not – is my solution correct?
I came across this logic exercise, and I would like to confirm if my solutions are valid.
Here is the setup:
Fact base: {A}
Rule base:
R1: A → B
R2: B → C
R3: E → D
Goal:
Add one rule such that D can ...
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Best neural network algorithms/architectures for generating synthetic sequences of tuples of words
I would like to generate sequences of tuples using a neural network algorithm such that the model trains on a dataset of sequences of tuples and generates synthetic sequences of tuples. Each tuple <...
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Why can the function that turns the history into one Markov state be any function?
Summary
In David Silver's RL lecture slides, he defines the State $S_t$ formally as a function of the history:
David then goes on to define the Markov state as any state $S_t$ such that the ...
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How can I integrate LangSmith for observability in a multi-agent Autogen (AG2) GroupChat setup?
I'm working on a document analysis service using Autogen (AG2). The service has two main agents: a reader and an analyzer. The reader splits the document into chunks and sends them to the analyzer, ...
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How to make a DQN that has combinable discrete actions?
I have a DQN network with two possible binary actions, but I want the DQN to be able choose all the possible action combinations give a state. So instead of (1,0) (0,1) I want (0,0) (1,0) (0,1) (1,1).
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Seeking advice for MLP architectures and training strategies for texture reconstruction (mipmap upscaling) focused on residual compression
I am working on a project involving texture compression and reconstruction, specifically targeting mipmap upscaling for game development assets. I'm encountering challenges in achieving the desired ...
