gaudelbijay/event_jackal

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gaudelbijay/diffusion-defender

A diffusion-based denoising approach to mitigate online adversarial image attacks and an FFT-based detector

Language: Python - Size: 1.32 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

gaudelbijay/asnn

Asynchronous Sparse Neural Network

Language: Python - Size: 2.93 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

gaudelbijay/Captain-Veggie

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gaudelbijay/UAV_data_collection

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gaudelbijay/gaudelbijay.github.io

https://gaudelbijay.github.io

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gaudelbijay/GraphSAT

Graph sampling and attention

Language: Python - Size: 114 MB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

gaudelbijay/GraphSAGELite

A general framework that leverages node feature information (e.g., text attributes) to efficiently generate node embeddings for previously unseen data. Instead of training individual embeddings for each node, GraphSAGE learn a function that generates embeddings by sampling and aggregating features from a node’s local neighborhood. Here, the implementation of GraphSAGE is based on transductive training

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gaudelbijay/gaudelbijay

Config files for my GitHub profile.

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gaudelbijay/faceDetectionUsingWebcam

Face detection using webcame

Language: Python - Size: 132 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

gaudelbijay/SNNL-Loss

Soft Nearest Neighbor loss from paper (https://arxiv.org/pdf/1902.01889.pdf) Implemented on tf 2.x

Language: Python - Size: 2.93 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 1

gaudelbijay/struc2vec

Structural identity is a concept of symmetry in which network nodes are identified according to the network structure and their relationship to other nodes. Structural identity has been studied in theory and practice over the past decades, but only recently has it been adressed with representation learning techniques. Node2vec is a flexible framework for learning latent representation for the structural identity of nodes. Struc2vec uses a hierarchy to measure node similarity at different scales, and constructs a multilayer graph to encode structural similarities and generate structural context for nodes.

Language: Python - Size: 2.3 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 1

gaudelbijay/landingGearDetection-YOLOV4

landing gear detection training using YOLOV4.

Language: Python - Size: 2.93 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

gaudelbijay/Crowd-Counting-ROS

ROS package for crowd counting with deep learning model implemented on PyTorch.

Language: Python - Size: 132 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

gaudelbijay/NepaliAutoCompleteAndLM

NepaliAutoCompleteML is a deep learning framework (using Pytorch) for suggesting relevant words during writing. We used Recurrent Neural Network with layer GRU or LSTM, and KL divergence as loss function to train our model.

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gaudelbijay/iq_tutorials Fork of Intelligent-Quads/iq_tutorials

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gaudelbijay/deepwalk

DeepWalk is network embedding technique proposed for learning the representations of nodes in a network, which is able to preserve the neighborhood structure of the nodes within a short random walk.

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gaudelbijay/tello

Language: Python - Size: 366 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

gaudelbijay/sensor-api

Simple Flask API to track sensors data

Language: Dart - Size: 61.5 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

gaudelbijay/walks

Here I have coded the random_walk and biased random walk on the graph.

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gaudelbijay/workshop2021

Basic of Deep Learning, Neural Networks, TensorFlow, and Machine Vision

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gaudelbijay/GAN

Implementation of different types of GAN in pytorch

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gaudelbijay/autoencoders

Pytorch Implementation of different types of AutoEncoders

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gaudelbijay/django_site

Simple django blog post site.

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gaudelbijay/simple_NN_visualizer

Simple neural network visualiser from coursera project

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gaudelbijay/DeepNLP-models-Pytorch Fork of DSKSD/DeepNLP-models-Pytorch

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

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gaudelbijay/SDNE

Structural Deep Network Embedding (SDNE) is a semi-supervised deep model for graph embedding. Which has multiple layers of non-linear functions, thereby being able to capture the highly non-linear network structure.

Language: Python - Size: 136 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

gaudelbijay/graphembedding-LINE

Line is a graph embedding technique, suitable for arbitrary types of information networks: undirected, directed, and/or weighted. The method optimizes a carefully designed objective function that preserves both the local and global network structures.

Language: Python - Size: 1.14 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

gaudelbijay/node2vec

Node2Vec is an effective graph embedding technique which learns a mapping of nodes to a low dimensional space of features that maximizes the likelihood of preserving network neighborhoods of nodes.

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gaudelbijay/graph-similarity

Local and Global similarity calculation

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gaudelbijay/enas Fork of quark0/enas

TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"

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