Pytorch implementation of "Genie: Generative Interactive Environments", Bruce et al. (2024).
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Updated
Jun 8, 2024 - Python
Pytorch implementation of "Genie: Generative Interactive Environments", Bruce et al. (2024).
A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
cardiAc ultrasound Segmentation & Color-dopplEr dealiasiNg Toolbox (ASCENT)
High order and sparse layers in pytorch. Lagrange Polynomial, Piecewise Lagrange Polynomial, Piecewise Discontinuous Lagrange Polynomial (Chebyshev nodes) and Fourier Series layers of arbitrary order. Piecewise implementations could be thought of as a 1d grid (for each neuron) where each grid element is Lagrange polynomial. Both full connected a…
Accelerated pose estimation and tracking using semi-supervised convolutional networks.
Library for metric learning pipelines and models.
Time series forecasting with PyTorch
A standard framework for modelling Deep Learning Models for tabular data
From Python basics to Machine Learning and PyTorch Deep Learning - one day at a time, explore it all
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
All code used in my Master's Thesis: Stolen Attention in Transformers. Includes a PyTorchLightning implementation of a transformer and relevant training scripts. Checkpoints and data sources not included.
Open MatSci ML Toolkit is a framework for prototyping and scaling out deep learning models for materials discovery supporting widely used materials science datasets, and built on top of PyTorch Lightning, the Deep Graph Library, and PyTorch Geometric.
Quadra: Effortless and reproducible deep learning workflows with configuration files.
An implementation of the DeepAnT model, a deep learning approach for unsupervised anomaly detection in time series data.
so-vits-svc fork with realtime support, improved interface and more features.
Image Debanding using Inversion by Direct Iteration
Detection of dental carries using deep learning model
🤹 MultiTRON: Pareto Front Approximation for Multi-Objective Session-Based Recommender Systems, submitted to ACM RecSys 2024.
🔎 Multi-Class Hypersphere Anomaly Detection
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