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adapting-the-wavenet-deep-learning-model-for-radar-classification

An investigation into radar classification. This project adapts the WaveNet deep learning model to classify radar data directly from the range profiles representation. This technique is compared with the leading approach in the literature of creating micro-Doppler spectrogram images from the data and classifying these images using a CNN.

albumentations

Fast image augmentation library and easy to use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about library: https://www.mdpi.com/2078-2489/11/2/125

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

awesome-dl4nlp

A curated list of awesome Deep Learning for Natural Language Processing resources

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

awesome-thesis

A curated list of practical tips and tricks to help you achieve an awesome CS master thesis [WIP] - contributions are welcome

cmu-ece-cs-guide

How to survive CMU as an ECE/CS major

data-science-pro

Regularly Updated | Collection of the best Data Science Material from the Web | Covering Everything from Books, Courses along with Material, Research Papers, and Interview Prep to Cheatsheet as well

demo_github

Nothing in here

demo_only

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

imgaug

Image augmentation for machine learning experiments.

joblib

Computing with Python functions.

labelimg

🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images

learnopencv

Learn OpenCV : C++ and Python Examples

lectures

Oxford Deep NLP 2017 course

machine-learning-articles

🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

machine-learning-collection

A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)

machine-learning-for-finance

Machine Learning for Finance, published by Packt

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

ml-youtube-courses

📺 A place to discover the latest machine learning courses on YouTube.

mmdetection

OpenMMLab Detection Toolbox and Benchmark

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

object-detection-custom-dataset-pytorch

Training object detection on custom dataset

onnx_model_zoo

A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.

opencv

Open Source Computer Vision Library

paper-collection

A track of papers I read and papers I collect to read in future