Furkan Gözükara

**Source of the question :** https://stackoverflow.com/questions/64827817/how-to-use-activationnetwork-of-accord-net-properly-to-do-machine-learning-tasks It is sad that the examples of Accord.NET is extremely primitive and insufficient. Therefore, I am having hard time to figure out how to...

https://github.com/FurkanGozukara/Record-Linkage - Turkish E-commerce Products Dataset For Record Linkage A repository for datasets which are used in record-linkage / clustering research studies. Datasets for product clustering, datasets for identity resolution....

What is the most proper way of disposing of HtmlDocument object

10

I am running an application heavily depending on HtmlDocument with hundreds of multi-threads So what would be the best way of disposing of HtmlDocument after done with the object Like...

How to train your own model and apply it? I have come so far but having problem at solver.py

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Ok I have downloaded visual studio code to debug and understand I see that `make_spect_f0.py` is used to generate `raptf0 `and `spmel `folders with values So this make_spect_f0 reads a...

How to call input.txt and write to output.txt for interactive_conditional_samples

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I did setup the system on windows 10, x64, 32 gb ram, core i7 2600k and GTX 1050Ti When I run this `python src/interactive_conditional_samples.py` It asks Model prompt >> Then...

Error 404 is not working on Windows Server 2019

3

Here my forum to test : https://forum.monstermmorpg.com/   

I believe this plugin adds rel canonical tag to all inner pages But why not adding to index.php?  How can i modify it to add to index.php as well? Thank...

The output is so bad - total garbage what I am doing wrong? It is also super slow and requires huge amount of RAM

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Here my entire command ``` from transformers import AutoTokenizer, OPTForCausalLM tokenizer = AutoTokenizer.from_pretrained("facebook/galactica-1.3b") model = OPTForCausalLM.from_pretrained("facebook/galactica-1.3b", device_map="auto") input_text = "The benefits of deadlifting\n\n" input_ids = tokenizer(input_text, return_tensors="pt").input_ids.to("cuda") outputs = model.generate(input_ids,new_doc=False,top_p=0.7,...

Has anyone managed to work it on Windows? Which OS did you use to make it work?

2

I have windows 10, x64, Core i7 2600 K CPU, 32 ram memory, GTX 1050 Ti GPU I have installed latest Phyton and Tensorflow Also run these commands ``` 1)...

Can this run on google colab? What is the minimum required VRAM? Any google colab notebook available?

7

Can this run on free google colab? What is the minimum required VRAM? Any google colab notebook available? I have recently a made a tutorial for stable diffusion 1.5 and...