Pinned Repositories
aecid-incremental-clustering
An efficient method for clustering log data
AlanProject
Robot control system using spiking based neural networks on SpiNNaker
Anomaly-Transformer
About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_
app_deep_learning
T81-558: PyTorch - Applications of Deep Neural Networks @Washington University in St. Louis
awesome-kan
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.
barlowtwins
PyTorch implementation of Barlow Twins.
BloSS
The Blockchain Signaling System - enabling cooperative, multi-domain DDoS defense.
clustering-benchmarks
A Framework for Benchmarking Clustering Algorithms
clustering-data-v1
A Framework for Benchmarking Clustering Algorithms – Benchmark Suite Version 1
Clustering-Datasets
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.
mahmoodalmansooei's Repositories
mahmoodalmansooei/Anomaly-Transformer
About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_
mahmoodalmansooei/app_deep_learning
T81-558: PyTorch - Applications of Deep Neural Networks @Washington University in St. Louis
mahmoodalmansooei/awesome-kan
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.
mahmoodalmansooei/clustering-benchmarks
A Framework for Benchmarking Clustering Algorithms
mahmoodalmansooei/clustering-data-v1
A Framework for Benchmarking Clustering Algorithms – Benchmark Suite Version 1
mahmoodalmansooei/Clustering-Datasets
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.
mahmoodalmansooei/cuml
cuML - RAPIDS Machine Learning Library
mahmoodalmansooei/complexPyTorch
A high-level toolbox for using complex valued neural networks in PyTorch
mahmoodalmansooei/Deep-KAN
Better implementation of Kolmogorov Arnold Network
mahmoodalmansooei/galactic
data cleaning and curation for unstructured text
mahmoodalmansooei/hdbscan
A high performance implementation of HDBSCAN clustering.
mahmoodalmansooei/KAN
Implementation on how to use Kolmogorov-Arnold Networks (KANs) for classification and regression tasks.
mahmoodalmansooei/langchain-tutorials
A set of LangChain Tutorials from my youtube channel
mahmoodalmansooei/lit-gpt
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.
mahmoodalmansooei/lm-evaluation-harness
A framework for few-shot evaluation of autoregressive language models.
mahmoodalmansooei/Machine-Learning-Collection
A resource for learning about Machine learning & Deep Learning
mahmoodalmansooei/n2
TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets
mahmoodalmansooei/NN-SVG
Publication-ready NN-architecture schematics.
mahmoodalmansooei/ollama
Get up and running with Llama 2 and other large language models locally
mahmoodalmansooei/parlaylib
A Toolkit for Programming Parallel Algorithms on Shared-Memory Multicore Machines
mahmoodalmansooei/pyssl
Self-Supervised Learning in PyTorch
mahmoodalmansooei/pytorch-complex
mahmoodalmansooei/sentence-splitter
Text to sentence splitter using heuristic algorithm by Philipp Koehn and Josh Schroeder.
mahmoodalmansooei/t81_558_deep_learning
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
mahmoodalmansooei/Transformers_Are_What_You_Dont_Need
The best repository showing why transformers don’t work in time series forecasting and showcasing the best SOTA non transformer models.
mahmoodalmansooei/TruthfulQA
TruthfulQA: Measuring How Models Imitate Human Falsehoods
mahmoodalmansooei/tsai
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
mahmoodalmansooei/UMAP-vs-PaCMAP
This is a dimensionality reduction project in the course DD2470 Advanced Topics in Visualization and Computer Graphics at KTH Royal Institute of Technology, Stockholm (2024), made by Linnéa Gustafsson.
mahmoodalmansooei/wizmap
Explore and interpret large embeddings in your browser with interactive visualization! 📍
mahmoodalmansooei/wspd_pip
Well-separated pair decomposition (WSPD)