roozbehsanaei Goto Github PK

2waynet

3d-point-capsule-networks

3D Point Capsule Networks

3d-pose-2d-keypoints

3d Human Pose Estimation from 2d Keypoints

3d-pose-baseline

A simple baseline for 3d human pose estimation in tensorflow. Presented at ICCV 17.

3d_model_retriever

Experimenting with a newly published deep learning paper and how it can be used for content-based 3D model retrieval. (info retrieval for CAD)

3dshapecontexts

Accompanying source code for my 2003 paper 3D Shape Matching with 3D Shape Contexts

absvit

Official code for "Top-Down Visual Attention from Analysis by Synthesis" (CVPR 2023 highlight)

acuiti

Icon Matching with Shape Context Descriptors.

advanced-deep-learning-with-keras

Advanced Deep Learning with Keras, published by Packt

alignet

code to train a neural network to align pairs of shapes without needing ground truth warps for supervision

analysisbysynthesis

Adversarially Robust Neural Network on MNIST.

ann-visualizer

A python library for visualizing Artificial Neural Networks (ANN)

awesome-deep-vision

A curated list of deep learning resources for computer vision

awesome-implicit-representations

A curated list of resources on implicit neural representations.

awesome-scene-text-recognition

A curated list of resources dedicated to scene text localization and recognition

awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

bag-of-local-features-models

Pretrained bag-of-local-features neural networks

basic-deep-learning

This collection aims to gather blogs and online materials on basic deep learning concepts

bayeformers

General API for Deep Bayesian Variational Inference by Backpropagation. The repository has been designed to work with Transformers like architectures. Compatible with the HuggingFace Transformers models.

bayesian-structure-learning

Search of an optimal Bayesian Network, assessing its best fit to a dataset, via an objective scoring function. Created at Stanford University, by Pablo Rodriguez Bertorello

bayeslms

bookmarks

bpl

Bayesian Program Learning model for one-shot learning

c-algorithms

A library of common data structures and algorithms written in C.

ca-gan

CA-GAN: Composition-Aided GANs

caffe

Caffe: a fast open framework for deep learning.

causal-unsupervised-segmentation

Official PyTorch Implementation code for realizing the technical part of Causal Unsupervised Semantic sEgmentation (CAUSE) to improve performance of unsupervised semantic segmentation. (Under Review)

causalfs

An open-source package of causal feature selection and causal (Bayesian network) structure learning (C/C++ version)

celeba

chars74k

Classifying characters challenge