Mehdi Bahri's repositories
binary_gnn
Code for our paper "Binary Graph Neural Networks", CVPR 2021
3D-Machine-Learning
A resource repository for 3D machine learning
AdaptiveWingLoss
[ICCV 2019] Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression - Official Implementation
AdvStatMLCW2
Second coursework in Advanced Statistical ML: Markov models, viterbi decoding
AoC2021_CPP
Learning C++ by shoehorning features into AoC problems. Don't expect perfect code.
arxiv_bulk_renamer
Bulk renames PDFs of arXiv papers recursively + finds duplicates
awesome-deep-gnn
Papers about developing deep Graph Neural Networks (GNNs)
awesome-model-quantization
A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.
gcs_poster
Poser on RKCA for the Google Computer Vision Summit 2018
gradio
Build and share delightful machine learning apps, in Python 🌟 Star to support our work!
graphclassificationbib
Bibliography on graph classification (neural and kernel methods)
guildai
Experiment tracking, ML developer tools
jekyll-theme-prologue
A Jekyll version of the "Prologue" theme by HTML5 UP
mbahri.github.io
Personal website
msc-thesis-code
Code for the models implemented and the experiments carried out during my MSc thesis and for the CVPR paper
msc_thesis
Master's thesis on robust low-rank modelling on tensors
Neural-Network-Compression
Paper list for neural network compression techniques
pointnet2-modernized
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
pytorch-segmentation-toolbox
PyTorch Implementations for DeeplabV3 and PSPNet
pytorch_bugreport
Data and example for bug reports for pytorch
pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
pyTorchChamferDistance
Implementation of the Chamfer Distance as a module for pyTorch
structure_knowledge_distillation
The official code for the paper 'Structured Knowledge Distillation for Semantic Segmentation'. (CVPR 2019 ORAL) and extension to other tasks.