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D2l Pytorch ⭐ 3,933

This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

Deep Learning Book ⭐ 2,650

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

Andrew Ng Notes ⭐ 1,367

This is Andrew NG Coursera Handwritten Notes.

Graph Fraud Detection Papers ⭐ 1,148

A curated list of graph-based fraud, anomaly, and outlier detection papers & resources

Cv Pretrained Model ⭐ 991

A collection of computer vision pre-trained models.

Pyclustering ⭐ 853

pyclustring is a Python, C++ data mining library.

Dash Cytoscape ⭐ 555

Interactive network visualization in Python and Dash, powered by Cytoscape.js

Numpycnn ⭐ 531

Building Convolutional Neural Networks From Scratch using NumPy

Datasets ⭐ 521

A repository of pretty cool datasets that I collected for network science and machine learning research.

Must Read Papers For Ml ⭐ 446

Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer

Cryptocurrency Price Prediction ⭐ 337

Cryptocurrency Price Prediction Using LSTM neural network

Graspologic ⭐ 322

Python package for graph statistics

Literature for the self-taught AI practitioner! 📚

Sfnetworks ⭐ 297

Tidy Geospatial Networks in R

Canvasxpress ⭐ 282

CanvasXpress: A JavaScript Library for Data Analytics with Full Audit Trail Capabilities.

Deepgraph ⭐ 274

Analyze Data with Pandas-based Networks. Documentation:

Tntorch ⭐ 243

Tensor Network Learning with PyTorch

Graphia ⭐ 209

A visualisation tool for the creation and analysis of graphs

Deeplearning Notes ⭐ 194

Notes for Deep Learning Specialization Courses led by Andrew Ng.

RadIO is a library for data science research of computed tomography imaging

A cleaner way to build neural networks for PyTorch.

Introdatasci ⭐ 114

Course materials for: Introduction to Data Science and Programming

Python toolbox to evaluate graph vulnerability and robustness (CIKM 2021)

Practicalmachinelearning ⭐ 79

A curated collection of machine learning resources, including notebooks, code, and books, all of which are either free or open-source

Nn Scratch ⭐ 74

Coding up a Neural Network Classifier from Scratch

Deep Explanation Penalization ⭐ 74

Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584

Ntds_2017 ⭐ 61

Material for the EPFL master course "A Network Tour of Data Science", edition 2017.

Ntds_2018 ⭐ 61

Material for the EPFL master course "A Network Tour of Data Science", edition 2018.

Datascience Projects ⭐ 57

A collection of personal data science projects

Bookworm ⭐ 54

📚 social networks from novels

Learn.sharjeelsayed.com ⭐ 51

Curated Self Study Guide for Computer Science, DevOps, SRE & SysAdmin

Ntds_2019 ⭐ 45

Material for the EPFL master course "A Network Tour of Data Science", edition 2019.

Deep Learning Resources ⭐ 41

A curated list of deep learning resources books, courses, papers, libraries, conferences, sample code, and many more.

Awesome Data Science ⭐ 39

Personal collection of interesting links & research papers related to data science (particularly in the area of Deep Learning)

Artificial_neural_networks ⭐ 35

A collection of Methods and Models for various architectures of Artificial Neural Networks

Linkedin Visualizer ⭐ 34

The missing feature in LinkedIn

Rumor Fake News Papers ⭐ 31

🚨 Rumor, Fake News, Misinformation Papers

Neuromantic ⭐ 22

Latest Data Science Materials

Bayesiansocialscience ⭐ 22

사회과학자를 위한 데이터과학 방법론 (코드 저장소)

Ai Cheat Sheet ⭐ 19

cheat sheet for Artificial Intelligence

The_facebook_scandal ⭐ 17

Network analysis of the Facebook/Cambridge Analytica scandal

An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".

Idealflownetwork ⭐ 15

Ideal Flow Network (IFN) is a Python module and library to compute network efficiency to analyze transportation network, communication networks and data science..

Ml_finance ⭐ 15

Use cases for Data Science and Machine Learning method in Finance illustrated by standalone Jupyter notebooks (python)

Forecasting Solar Energy ⭐ 14

Forecasting Solar Power: Analysis of using a LSTM Neural Network

Orbitalfeatures ⭐ 13

A sparsity aware implementation of "Biological Network Comparison Using Graphlet Degree Distribution" (Bioinformatics 2007)

Openskyr ⭐ 13

R-library to access to the data offered by OpenSky-Network

Networks Course ⭐ 13

A short course on network data science at Johns Hopkins University

Deep Neural Networks For Baseball ⭐ 13

A repository to follow along with Andrew Trask's "Grokking Deep Learning" by modelling baseball statistics using various architectures of neural networks built from scratch.

Data Science Resources ⭐ 11

A curated list of resources to help you get start with Data Science.

Humpback Whale Identification ⭐ 10

Kaggle Humpback whale identification: 2xGPU Data augmentation + FP16 mixed precision training

Keras_tensorflow_on_iris ⭐ 10

A minimal tutorial on how to build a neural network classifier based on the iris data set using Keras/TensorFlow in R/RStudio

Hust Projects ⭐ 9

My labs in college of CS and some interesting projects at HUST.

Neural Network library in C

Mars_express__esn ⭐ 9

Tackling ESA's Mars Express Power Challenge with Echo State Networks

R Ghypernet ⭐ 9

R package for Generalised Hypergeometric Ensembles of Random Graphs (gHypEG)

A Notebook alternative that supports branching code and local collaboration.

A Python 3 package with tools for collecting, cleaning, and exporting datasets from local Git repositories, as well as creating network datasets and visualizations.

Neuralnetwork ⭐ 8

Small implementation of a neural network in Python

Network Intrusion Detection Using Machine Learning ⭐ 8

A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach

Tanalysis ⭐ 7

A python 2.7+ and 3.4+ package for matrix product state decompositions in a data science context

Research at the intersection of natural language processing and social network analysis.

Cbc_networks ⭐ 7

Classification-By-Components networks

The model of Policy Priority Inference

Tensorflow2.0_notebooks ⭐ 6

Implementation of a series of Neural Network architectures in TensorFow 2.0

Sir_on_gnutella ⭐ 6

Simulation of a SIR Epidemic process on the Gnutella p2p network on Python

Building Neural Networks From Scratch ⭐ 6

Building Neural Networks from Scratch book repository.

Machine Learning Scratch ⭐ 6

Python implementation of popular machine learning algorithm

Evaluating surgical skills from kinematic data using convolutional neural networks

Resources ⭐ 6

Datadrivendesignwirelessnetworks ⭐ 5

A generic framework for data driven design of wireless networks.

Deep learning in data science

Backpropagation Neural Network For Multivariate Time Series Forecasting ⭐ 5

Backpropagation Neural Network for Multivariate Time Series Forecasting (multi input single output: 2 inputs and 1 output)

Malicious Activity Detection System. Final Year Project. Deep Learning-based solution, which analyses Network Activity sequences to classify whether the certain node is Malicious or Benign. Devising a tool/software which will detect malicious Network Activity Detection using Deep Learning Model. Tools: Python, Neural Network (BERT), Google Colaboratory, PyTorch, Kaggle, Tensorflow, and Flowmeter,

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