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A curated list of awesome Machine Learning frameworks, libraries and software.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Minimal examples of data structures and algorithms in Python
YOLOv10: Real-Time End-to-End Object Detection [NeurIPS 2024]
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Minimal and clean examples of machine learning algorithms implementations
A curated list of practical financial machine learning tools and applications.
TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
👑 Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA
Official PyTorch implementation of Revisiting Image Pyramid Structure for High Resolution Salient Object Detection (ACCV 2022)
Image Processing techniques using OpenCV and Python.
Plausibility checks for generated molecule poses.
The code of a graph neural network (GNN) for molecules, which is based on learning representations of r-radius subgraphs (i.e., fingerprints) in molecules.
Kolmogorov-Arnold Network for Reinforcement Leaning, initial experiments
A package to identify matched molecular pairs and use them to predict property changes.
Graphium: Scaling molecular GNNs to infinity.
Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings".
This repository contains the codes to replicate the simulations from the paper: "Wav-KAN: Wavelet Kolmogorov-Arnold Networks". It showcases the use of wavelet functions in neural networks to improv…
DeepGNN is a framework for training machine learning models on large scale graph data.
Implementation of xLSTM in Pytorch from the paper: "xLSTM: Extended Long Short-Term Memory"
Graph neural network (GNN) for molecular property prediction (3D structure)
Molecular MHFP fingerprints for cheminformatics applications
Pytorch Implemention of paper "Deep Spectral Clustering Learning", the state of the art of the Deep Metric Learning Paper
Utilities for working with SMILES based encodings of molecules for deep learning (PyTorch oriented)
Explorative multivariate statistics in Python