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Repo containing scripts for videos featured on Adrian Dolinay's YouTube channel.

Jupyter Notebook 99.93% Python 0.05% PowerShell 0.01% Rich Text Format 0.01% Perl 0.01% Rebol 0.01% Ruby 0.01% C# 0.01% C++ 0.01% C 0.01% Go 0.01% Haskell 0.01% Java 0.01% JavaScript 0.01% Rust 0.01% Shell 0.01% Dockerfile 0.01%
data-science google-colab python python-tutorial python-tutorials

youtube-tutorials's Introduction

YouTube-Tutorials

Repo containing scripts for videos featured on Adrian Dolinay's YouTube channel.

You can also connect with Adrian on LinkedIn, Twitter, GitHub, Medium and Odysee. Happy coding!

YouTube Links

Finance with Python Tutorials

Finance with Python! Black Scholes Merton Model for European Options

finbsm

Finance with Python! Dividend Discount Model

finddm

Finance with Python! Downloading Financial Data

findowdE

Google Colab & Jupyter Notebook Tutorials

Google Colab - Exporting to a PDF Format!

colabtopdf

Google Colab - Importing Python Scripts as Modules!

colabimport

Google Colab + Kaggle - Downloading Datasets & Uploading Submissions from a Notebook

colabkaggle

PowerShell Tutorials

PowerShell! Converting Text Files to csv

powershellconvertxtcsv

PowerShell! Renaming Files

powershellrename

PowerShell! Running Python Scripts

powershellpythonscript

Statistics with Python

Statistics with Python! Mean, Median and Mode

meanmedianmode

Statistics with Python! Monte Carlo Integration

montecarlo

Statistics with Python! Variance and Standard Deviation

varstdev

youtube-tutorials's People

Contributors

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youtube-tutorials's Issues

getting error nougat failed to run due to transformer version: pip install transformers==4.38.2

downloading nougat checkpoint version 0.1.0-small to path /root/.cache/torch/hub/nougat-0.1.0-small
config.json: 100% 557/557 [00:00<00:00, 3.39Mb/s]
pytorch_model.bin: 100% 956M/956M [00:04<00:00, 201Mb/s]
special_tokens_map.json: 100% 96.0/96.0 [00:00<00:00, 531kb/s]
tokenizer.json: 100% 2.04M/2.04M [00:00<00:00, 9.18Mb/s]
tokenizer_config.json: 100% 106/106 [00:00<00:00, 521kb/s]
INFO:root:Output directory does not exist. Creating output directory.
/usr/local/lib/python3.10/dist-packages/torch/functional.py:507: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at ../aten/src/ATen/native/TensorShape.cpp:3549.)
return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined]
0% 0/1 [00:00<?, ?it/s]
Traceback (most recent call last):
File "/usr/local/bin/nougat", line 8, in
sys.exit(main())
File "/usr/local/lib/python3.10/dist-packages/predict.py", line 167, in main
model_output = model.inference(
File "/usr/local/lib/python3.10/dist-packages/nougat/model.py", line 592, in inference
decoder_output = self.decoder.model.generate(
File "/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py", line 1576, in generate
result = self._greedy_search(
File "/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py", line 2491, in _greedy_search
model_inputs = self.prepare_inputs_for_generation(input_ids, **model_kwargs)
TypeError: BARTDecoder.prepare_inputs_for_inference() got an unexpected keyword argument 'cache_position'
-> Cannot close object, library is destroyed. This may cause a memory leak!

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