Ma_Kadhim's repositories
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.
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.
cuml
cuML - RAPIDS Machine Learning Library
complexPyTorch
A high-level toolbox for using complex valued neural networks in PyTorch
Deep-KAN
Better implementation of Kolmogorov Arnold Network
galactic
data cleaning and curation for unstructured text
hdbscan
A high performance implementation of HDBSCAN clustering.
KAN
Implementation on how to use Kolmogorov-Arnold Networks (KANs) for classification and regression tasks.
langchain-tutorials
A set of LangChain Tutorials from my youtube channel
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.
lm-evaluation-harness
A framework for few-shot evaluation of autoregressive language models.
Machine-Learning-Collection
A resource for learning about Machine learning & Deep Learning
n2
TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets
NN-SVG
Publication-ready NN-architecture schematics.
ollama
Get up and running with Llama 2 and other large language models locally
parlaylib
A Toolkit for Programming Parallel Algorithms on Shared-Memory Multicore Machines
pyssl
Self-Supervised Learning in PyTorch
sentence-splitter
Text to sentence splitter using heuristic algorithm by Philipp Koehn and Josh Schroeder.
t81_558_deep_learning
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
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.
TruthfulQA
TruthfulQA: Measuring How Models Imitate Human Falsehoods
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
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.
wizmap
Explore and interpret large embeddings in your browser with interactive visualization! 📍
wspd_pip
Well-separated pair decomposition (WSPD)