mahmoodalmansooei Goto Github PK
Name: Ma_Kadhim
Type: User
Name: Ma_Kadhim
Type: User
An efficient method for clustering log data
Robot control system using spiking based neural networks on SpiNNaker
About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_
T81-558: PyTorch - Applications of Deep Neural Networks @Washington University in St. Louis
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold Network field.
PyTorch implementation of Barlow Twins.
The Blockchain Signaling System - enabling cooperative, multi-domain DDoS defense.
A Framework for Benchmarking Clustering Algorithms
A Framework for Benchmarking Clustering Algorithms – Benchmark Suite Version 1
This repository contains the collection of UCI (real-life) datasets and Synthetic (artificial) datasets (with cluster labels and MATLAB files) ready to use with clustering algorithms.
A high-level toolbox for using complex valued neural networks in PyTorch
cuML - RAPIDS Machine Learning Library
Introduction to data science course
Crowdfunding defense: ddos detection based on blockchain by hyperledger fabric
Better implementation of Kolmogorov Arnold Network
A deep learning toolkit for automated anomaly detection
PyTorch implementation of Deeplog: Anomaly detection and diagnosis from system logs through deep learning
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Clustering for arbitrary data and dissimilarity function
data cleaning and curation for unstructured text
This repository is the PyTorch implementation of GAN Ensemble for Anomaly Detection.
Google Research
A high performance implementation of HDBSCAN clustering.
A Fast Parallel Algorithm for HDBSCAN* Clustering
Implementation on how to use Kolmogorov-Arnold Networks (KANs) for classification and regression tasks.
A set of LangChain Tutorials from my youtube channel
Hackable implementation of state-of-the-art open-source LLMs based on nanoGPT. Supports flash attention, 4-bit and 8-bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.
A framework for few-shot evaluation of autoregressive language models.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.