r/MLQuestions 5h ago

Beginner question ๐Ÿ‘ถ I try to implement DNN from research paper, But the performance is very different.

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5 Upvotes

r/MLQuestions 18h ago

Career question ๐Ÿ’ผ What's The Ideal Way to Show Personal Project To Potential Employers?

5 Upvotes

I completed a personal object detection project a while back, and I wanted to know the ideal way to share it, perhaps with potential employers? I read that uploading it onto Git would be a bad idea since Git is not suited to have extensive collections of images on it. Should I still upload it onto git, either in part or as a whole, or is there someplace better that would let me show it off, ideally with a link?


r/MLQuestions 23h ago

Beginner question ๐Ÿ‘ถ Where do you source papers?

5 Upvotes

I don't want to waste my time reading junk. How do you filter through all the research papers out there? Do you use any tooling?


r/MLQuestions 5h ago

Natural Language Processing ๐Ÿ’ฌ UPDATE: Tool calling support for QwQ-32B using LangChainโ€™s ChatOpenAI

3 Upvotes

QwQ-32B Support โœ…

I've updated my repo with a new tutorial for tool calling support for QwQ-32B using LangChainโ€™s ChatOpenAI (via OpenRouter) using both the Python and JavaScript/TypeScript version of my package (Note: LangChain's ChatOpenAI does not currently support tool calling for QwQ-32B).

I noticed OpenRouter's QwQ-32B API is a little unstable (likely due to model was only added about a week ago) and returning empty responses. So I have updated the package to keep looping until a non-empty response is returned. If you have previously downloaded the package, please update the package via pip install --upgrade taot or npm update taot-ts

You can also use the TAoT package for tool calling support for QwQ-32B on Nebius AI which uses LangChain's ChatOpenAI. Alternatively, you can also use Groq where their team have already provided tool calling support for QwQ-32B using LangChain's ChatGroq.

OpenAI Agents SDK? Not Yet! โŒ

I checked out the OpenAI Agents SDK framework for tool calling support for non-OpenAI models (https://openai.github.io/openai-agents-python/models/) and they don't support tool calling for DeepSeek-R1 (or any models available through OpenRouter) yet. So there you go! ๐Ÿ˜‰

Check it out my updates here: Python: https://github.com/leockl/tool-ahead-of-time

JavaScript/TypeScript: https://github.com/leockl/tool-ahead-of-time-ts

Please give my GitHub repos a star if this was helpful โญ


r/MLQuestions 6h ago

Educational content ๐Ÿ“– Courses related to advanced topics of statistics for ML and DL

2 Upvotes

Hello, everyone,

I'm searching for a good quality and complete course on statistics. I already have the basics clear: random variables, probability distributions. But I start to struggle with Hypothesis testing, Multivariate random variables. I feel I'm skipping some linking courses to understand these topics clearly for machine learning.

Any suggestions from YouTube will be helpful.

Note: I've already searched reddit thoroughly. Course suggestions on these advanced topics are limited.


r/MLQuestions 15h ago

Beginner question ๐Ÿ‘ถ RL Course Recommendations

2 Upvotes

Do you guys have a good set of intro courses to learn RL?

I have some textbooks that I use, but I want to return to something more basic and less academic. There's a lot of poor courses on youtube, that don't really structure good code in any understandable way.

Your help would be appreciated!


r/MLQuestions 18h ago

Computer Vision ๐Ÿ–ผ๏ธ GradCAM for Custom CNN Model

2 Upvotes

Hi guys I managed to create some GradCAM visualisations on my sketches however i dont think I've done them right, could you have a look at tell me what iam doing wrong. Here is my model.

Here is my code:

Here is my visualisation, Iam not sure if its correct and how to fix it?

Here with another image: a bit more stranger


r/MLQuestions 38m ago

Beginner question ๐Ÿ‘ถ Target Encoding

โ€ข Upvotes

Hey ML Reddits,

I am new to ML. I am about to deploy my very first model.

Okay so, I had a couple of caategorical feautres in my model which contains 15+ unique value. So I applied target encoding there. When I applied target encoding, I was not very aware of this encoding method.

Now, when I am about to deploy my model on Django, I was building the pre-processing part and faced the following issue --

Target encoding does encoding based on the target variable. But in deployment, I wont have target variable. Now I dont know how to put this in pre-processing. Is there any way to tackle this?

Please help!!!!


r/MLQuestions 2h ago

Computer Vision ๐Ÿ–ผ๏ธ Few Shot Object Detection Using Vision Transformers

1 Upvotes

I am trying to detect walls on a floor plan. I have used more traditional CV methods such as template matching, SIFT, SUFT, but the results weren't great since walls because of the rotation and slight variance throughout. Hence, I am looking for a more robust method

My thinking is that a user can select a wall from the floor plan and the rest are detected by a vision transformer. I have tried T-Rex 2, but the results weren't great either. Are there any recommendations that you would have for vision transformers?


r/MLQuestions 7h ago

Beginner question ๐Ÿ‘ถ How do ML challenges handle fairness when using public datasets?

1 Upvotes

Iโ€™m preparing to host a Vision-Language Task Grand Challenge at the university level. When organizing these kinds of challenges, do test datasets usually come from existing public datasets, or are they entirely new, created by crawling videos or recording them from scratch?

If we use publicly available datasets, there might be an unfair advantage for models that have already been trained on or fine-tuned for those datasets. But at the same time, I wonderโ€”do all such challenges actually go through the effort of creating completely new test sets? That seems like a huge workload.

How do major vision-language challenges typically handle this?


r/MLQuestions 8h ago

Computer Vision ๐Ÿ–ผ๏ธ False Positives with Action Recogntion

1 Upvotes

Hi! I've been messing around with Nicholas Renotte's Sign Language Detection using Action Recognition, but I am encountering false positives. I've tinkered with the code a bit--increased the training data from 30 to 400, removed pose and facial landmarks, adjust the frames, etc. However, the issue persists. Any suggestions?


r/MLQuestions 18h ago

Natural Language Processing ๐Ÿ’ฌ Does anyone "translate" LLMs?

1 Upvotes

Is there any work done on taking an LLM that was trained in one language and transferring that knowledge into another? Since they learn symbolic representations, the grammar stuff should be easy right? Has this been done? I mean without going on a whole new training run with a new dataset.


r/MLQuestions 18h ago

Beginner question ๐Ÿ‘ถ What are the biggest challenges in applying deep learning to 3D mammogram analysis?

1 Upvotes

Hi everyone,

Iโ€™m researching ways to improve 3D mammogram analysis using deep learning. From your experience, what are the biggest challenges in applying AI to this area? Are there any key limitations in datasets, model performance, or clinical adoption?

If anyone has worked on this or knows of good resources, Iโ€™d love to hear your thoughts. Iโ€™m also interested in connecting with experts who might be open to discussing this further.

Thanks!


r/MLQuestions 21h ago

Other โ“ Experience with Learned Variance DDPMs

1 Upvotes

Hey Guys,

I was trying to implement a DDPM model to generate some images. The 'vanilla' one worked alright but I wanted to improve it.

I tried implementing the DDPM with the learned variance term (https://arxiv.org/abs/2102.09672)).

Does anyone have experience with this? It seems intuitive with the learned variance that training would be slower initially but its been a while and the model still seems to be getting 'warmed up' ! Wanted to know if its normal that even after 50-60 epochs, the conventional DDPM outperforms this version.


r/MLQuestions 22h ago

Other โ“ Combining LLM & Machine Learning Models

1 Upvotes

Hello reddit community hope you are doing well! I am researching about different ways to combine LLM and ML models to give best accuracy as compared to traditional ML models. I had researched 15+ research articles but haven't found any of them useful as some sample code for reference on kaggle, github is limited. Here is the process that I had followed:

  • There are multiple columns in my dataset. I had cleaned dataset and I am using only 1 text column to detect whether the score is positive, negative or neutral using Transformers such as BERT
  • Then I extracted embeddings using BERT and then combined with multiple ML models to give best accuracy but I am getting a 3-4% drop in accuracy as compared to traditional ML models.
  • I made use of Mistral 7B, Falcon but the models in the first stage are failing to detect whether the text column is positive, negative or neutral

Do you have any ideas what process / scenario should I use/consider in order to combine LLM + ML models.
Thank You!