MachineLearningJournalClub / LearningNLP
Some Tutorials & in depth analysis of NLP's algorithms with an ethical flavour
☆15Updated 3 years ago
Alternatives and similar repositories for LearningNLP:
Users that are interested in LearningNLP are comparing it to the libraries listed below
- Official code for paper: Conservative objective models are a special kind of contrastive divergence-based energy model☆14Updated last year
- Tutorials for the Machine Learning for Time Series class - Master MVA (2021/2022)☆10Updated 3 years ago
- ☆10Updated 4 years ago
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆25Updated 3 years ago
- Andrzej Chrzeszczyk's introduction to manifolds in SageMath☆8Updated 2 years ago
- Dynamic mode decomposition with dependent structure among observables (Graph DMD)☆13Updated 5 years ago
- A short introduction to Conformal Prediction methods, with a few examples for classification and regression from the Astrophysical domain…☆12Updated 8 months ago
- Public repo for the course Complexity in Social Systems☆9Updated last year
- ☆11Updated 2 years ago
- Material for the hands-on tutorial on Graph Deep Learning held at the Alan Turing Institute☆57Updated last year
- Material for 'Mathematics of Deep Learning Workshop' (Invited Talk)☆17Updated 2 years ago
- Benchmark for learning stiff problems using physics-informed machine learning☆11Updated 3 years ago
- This repository holds my paper implementations made for my studies and my content production☆35Updated 5 months ago
- A 30-minute showcase on the how and the why of neural differential equations.☆13Updated 11 months ago
- A pytorch toolbox designed for experimentation using a generalization of the Resnet design.☆16Updated last year
- ☆17Updated 5 months ago
- Gaussian-Processes Surrogate Optimisation in python☆19Updated 3 years ago
- Files related to my Summer of Science Report on Nonlinear Dynamics☆10Updated last year
- an Open Collaborative project to explore the implications — theoretical or practical — of the PDE perspective of ConvNets☆22Updated last year
- A set of jupyter notebooks for the practice of TDA with the python Gudhi library together with popular machine learning and data sciences…☆28Updated 2 months ago
- ☆31Updated last year
- Awesome-spatial-temporal-data-mining-packages. Julia and Python resources on spatial and temporal data mining. Mathematical epidemiology…☆31Updated 2 years ago
- A paper describing the implementation of PySR and SymbolicRegression.jl☆54Updated last year
- This is a repository of scripts developed as part of the 2020 ENCMP100 Section B3 lecture taught at University of Alberta.☆10Updated 4 years ago
- The code enables to perform Bayesian inference in an efficient manner through the use of Hamiltonian Neural Networks (HNNs), Deep Neural …☆14Updated 2 years ago
- AI Hilbert is an algebraic geometric based discovery system (based on Putinar's Positivstellensatz), that enables the discovery of fundam…☆29Updated 8 months ago
- Long-term probabilistic forecasting of quasiperiodic phenomena using Koopman theory☆34Updated 3 years ago
- Public repository for the proposal “Physics-Informed Machine Learning Simulator for Wildfire Propagation” - MLJC University of Turin - Pr…☆46Updated 3 years ago
- Deeplearning project at The Technological University of Denmark (DTU) about Neural ODEs for finding dynamics in ordinary differential equ…☆16Updated 3 years ago
- A series of simulation codes used to emulate quantum-like networks in the simulation of emergent adaptive behavior, such as network sync…☆13Updated 7 months ago