pythoncode-tutorials
glami-1m
pythoncode-tutorials | glami-1m | |
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1 | 3 | |
2,003 | 62 | |
- | - | |
8.1 | 2.8 | |
3 days ago | 11 months ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | Apache License 2.0 |
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pythoncode-tutorials
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Keylogger With Python
Seems like you just stole and live-wrote https://github.com/x4nth055/pythoncode-tutorials/tree/master/ethical-hacking/keylogger to me.
glami-1m
- Glami-1M: A Multilingual Image-Text Fashion Dataset
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[R] GLAMI-1M: A Multilingual Image-Text Fashion Dataset
Found relevant code at https://github.com/glami/glami-1m + all code implementations here
What are some alternatives?
violent-python3 - Source code for the book "Violent Python" by TJ O'Connor. The code has been fully converted to Python 3, reformatted to comply with PEP8 standards and refactored to eliminate dependency issues involving the implementation of deprecated libraries.
torchscale - Foundation Architecture for (M)LLMs
borb-google-colab-examples - This repository contains some examples of using borb in google colab. These examples enable you to try out the features of borb without installing it on your system. They also ensure the system requirements and imports are all taken care of.
notebooks - Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.
flytesnacks - Flyte Documentation 📖
One-Piece-Image-Classifier - A quick image classifier trained with manually selected One Piece images.
TradingGym - Trading Gym is an open source project for the development of reinforcement learning algorithms in the context of trading.
blended-latent-diffusion - Official implementation for "Blended Latent Diffusion" [SIGGRAPH 2023]
PyCBC-Tutorials - Learn how to use PyCBC to analyze gravitational-wave data and do parameter inference.
vision-transformer-from-scratch - A Simplified PyTorch Implementation of Vision Transformer (ViT)
lmsoc - Code for reproducing our paper: LMSOC: An Approach for Socially Sensitive Pretraining
gem - A Pytorch-based library to evaluate learning methods on small image classification datasets