mbahri Goto Github PK
Name: Mehdi Bahri
Type: User
Company: Imperial College London
Bio: ML Researcher. Geometric Deep Learning, 3D Vision, Graphs.
Twitter: MehdiBahri1
Location: London, UK
Blog: http://bahri.io/
Mehdi Bahri's Projects
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
advstatmlcw1
First coursework in Advanced Statistical Machine Learning
advstatmlcw2
Second coursework in Advanced Statistical ML: Markov models, viterbi decoding
algo1
Projet d'algo nĀ°1
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.
binary_gnn
Code for our paper "Binary Graph Neural Networks", CVPR 2021
campagne
Campagne Ensimag 2014
coma
Convolutional Mesh Autoencoders for Generating 3D Faces
gcs_poster
Poser on RKCA for the Google Computer Vision Summit 2018
gradio
Build and share delightful machine learning apps, in Python š 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
kaolin
A PyTorch Library for Accelerating 3D Deep Learning Research
kdrsdl
Code for Robust Kronecker-Decomposable Component Analysis (ICCV 2017)
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
pumpitup
Driven Data Pump It Up challenge
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
rbm_bayesian_optimisation
Bayesian optimisation for the hyperparameters of an RBM
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