mehakkhan7 Goto Github PK

-100daysofmlcode

I have accepted the "100 Days of ML Code" Challenge given by Siraj Raval !!

100daysofml

I am taking up the challenge to to Learn Machine Learning at least an hour everyday!!

100daysofmlcode

adagcn

Official Implementation of AdaGCN (ICLR 2021)

am3net_multimodal_data_fusion

Code for J. Wang, J. Li, Y. Shi, J. Lai and X. Tan, "AM3Net: Adaptive Mutual-learning-based Multimodal Data Fusion Network," in IEEE TCSVT, 2022. We conducted the experiments on the hyperspectral and lidar dataset(Houston and Trento) and multispectral and synthetic aperture radar data (grss-dfc-2007 datasets).

annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

arset_ml_fundamentals

Repository for Jupyter Notebook examples associated with the NASA ARSET Training, "Fundamentals of Machine Learning for Earth Science"

awesome-continual-learning

A curated list of Continual Learning papers and BibTeX entries

awesome-earthobservation-code

A curated list of awesome tools, tutorials, code, helpful projects, links, stuff about Earth Observation and Geospatial stuff!

awesome-geospatial

Long list of geospatial tools and resources

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

cvpr21_pass

PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"

data-science-specs

PRC Covid-19 Data Science team repo to manage work division.

datasets

Datasets for deep learning with satellite & aerial imagery

deep-learning-papers

Deep learning paper reviews with PyTorch

detr

End-to-End Object Detection with Transformers

ds-cheatsheets

List of Data Science Cheatsheets to rule the world

fastmaskrcnn

Mask RCNN in TensorFlow

gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

gcn.pytorch

Graph Convolutional Networks for Text Classification.

gmnn

Graph Markov Neural Networks

grand

Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

graphembeddingrecommendationsystem

Python based Graph Propagation algorithm, DeepWalk to evaluate and compare preference propagation algorithms in heterogeneous information networks from user item relation ship.

hits-algorithm

Implementation of Hyperlink-Induced Topic Search algorithms

how_to_create_confusion_matrix

How to create a confusion matrix with the test result in your training model & How to visualize the history of network learning: accuracy, loss in graphs.

ijcnn19attacks

Adversarial Attacks on Deep Neural Networks for Time Series Classification

landcoversemanticsegmentation

Land Cover Classification through semantic segmentation for MUSA-650 final project

local-citation-recommendation

Code for ECIR 2022 paper Local Citation Recommendation with Hierarchical-Attention Text Encoder and SciBERT-based Reranking

lstm-fcn

Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification