Lorenz Wolf (lorenzflow)

lorenzflow

Geek Repo

Company:University College London

Location:London

Home Page:https://lorenz-wolf.netlify.app

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Lorenz Wolf's repositories

Autoregressive-Convolutional-RNN

Autoregressive Convolutional RNN for univariate and multivariate time series forecasting implemented with keras and tensorflow.

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dqn-example

Example implementation of dqn for lunar lander, solving some incompatibilities

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Awesome-Functional-ML

This repo contains a collection of papers on ML for functional data.

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bandits

Bayesian Bandits

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commonsense-rl

Knowledge-Aware RL agents with Commonsense Reasoning

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Computational-Statistics-Project-1

First one day project for the computational statistics module.

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denoising-diffusion-flax

Implementing the Denoising Diffusion Probabilistic Model in Flax

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denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

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diffuser

Code for the paper "Planning with Diffusion for Flexible Behavior Synthesis"

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epymarl

An extension of the PyMARL codebase that includes additional algorithms and environment support

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federated

A collection of Google research projects related to Federated Learning and Federated Analytics.

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FunctionalDeepLearning

MSc Thesis on Deep Learning methodology for functional data

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ivy

The Unified Machine Learning Framework

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MachineLearning

Some small ML projects

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Minigrid

Simple and easily configurable grid world environments for reinforcement learning

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Personalized-News-Recommendation

Multi Armed Bandits implementation using the Yahoo! Front Page Today Module User Click Log Dataset

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Portfolio

Portfolio with applied ML/AI projects

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rebayes

Recursive Bayesian Estimation (Sequential / Online Inference)

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rebayes-mini

Minimalist version of probml/rebayes

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sac

Soft Actor-Critic for unsupervised RL

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stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

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Statistical-Modelling

Statistical Modelling projects - interpretable models such as general linear model and normal linear model

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tiny-diffusion

A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.

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