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Behrad TaghiBeyglou's Projects

lime icon lime

Lime: Explaining the predictions of any machine learning classifier

ml_things icon ml_things

This is where I put things I find useful that speed up my work with Machine Learning. Ever looked in your old projects to reuse those cool functions you created before? Well, this repo is designed to be a Python Library of functions I created in my previous project that can be reused. I also share some Notebooks Tutorials and Python Code Snippets.

motionbert icon motionbert

PyTorch Implementation of "Learning Human Motion Representations: A Unified Perspective"

opensmile icon opensmile

The Munich Open-Source Large-Scale Multimedia Feature Extractor

openxbow icon openxbow

openXBOW - the Passau Open-Source Crossmodal Bag-of-Words Toolkit

prose icon prose

A Content Editor for GitHub.

pytorch-image-models icon pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

pytorch_face_landmark icon pytorch_face_landmark

Fast and accurate face landmark detection library using PyTorch; Support 68-point semi-frontal and 39-point profile landmark detection; Support both coordinate-based and heatmap-based inference; Up to 100 FPS landmark inference speed with SOTA face detector on CPU.

s3prl icon s3prl

Self-Supervised Speech Pre-training and Representation Learning.

torch-cam icon torch-cam

Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)

uvadlc_notebooks icon uvadlc_notebooks

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2022/Spring 2022

vit-pytorch icon vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

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