Automatic architecture search for visual recognition tasks
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Updated
Sep 20, 2024 - Jupyter Notebook
Automatic architecture search for visual recognition tasks
Sand box of little projects that helped me understand Deep Learning
Foundational introduction to PyTorch, focusing on the basics of tensors, their creation, manipulation, and operations, which are essential for understanding and building deep learning models
A highly modular and extensible PyTorch-based reinforcement learning library.
Jupyter Notebook examples using CTPO as their source container.
Comparing between residual stream and highway stream in transformers(BERT) .
This project is implementation of CycleGAN paper.
Official PyTorch Repo for "ReZero is All You Need: Fast Convergence at Large Depth"
Experiments with UNET/FPN models and cityscapes/kitti datasets [Pytorch]
VSenseBox - Python toolbox for visual sensing.
Deep Learning with PyTorch
Movie Recommendation System using PyTorch and Collaborative Filtering and trained on the MovieLens 25M dataset
Automatic anonymization of pathological speech
This repository implements region adjacency matrix calculation using NumPy, PyTorch, and CUDA.
Calculating Fréchet inception distance and other metrics with PyTorch.
Low Quality Image Toolbox
This library is designed to augment audio data for machine learning purposes. It combines several tools and libraries for audio data augmentation and provides a unified interface that can be used to apply a large set of audio augmentations in one place.
Experience seamless license plate recognition with our Python-based project utilizing YOLOv8. Achieve rapid and accurate detection for diverse applications, from security surveillance to traffic management
PyTorch implementation of segmentation on Gottingen Aerial dataset
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