MachineLearningJournalClub / LearningNLPLinks
Some Tutorials & in depth analysis of NLP's algorithms with an ethical flavour
☆14Updated 4 years ago
Alternatives and similar repositories for LearningNLP
Users that are interested in LearningNLP are comparing it to the libraries listed below
Sorting:
- Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of…☆72Updated 3 months ago
- ☆15Updated 2 years ago
- An implementation of a neural network training routine using derivative information in Pytorch.☆10Updated 5 years ago
- Awesome tutorials, papers, projects and tools for Reservoir Computing techniques like Echo State Networks (ESN).☆60Updated 4 years ago
- Dynamic mode decomposition with dependent structure among observables (Graph DMD)☆14Updated 6 years ago
- A Python Wrapper for the Inform Information Analysis Library☆56Updated 6 years ago
- Machine Learning with Echo State Networks, a scikit-learn compatible package.☆44Updated 3 months ago
- Python package to discover stochastic differential equations from time series data☆99Updated last year
- Tutorials for the Machine Learning for Time Series class - Master MVA☆27Updated last year
- Levy distributions for Python☆36Updated 2 years ago
- Global, derivative-free optimization for hyperparameter tuning☆44Updated 2 months ago
- Benchmark time series data sets for PyTorch☆36Updated last year
- PyPi Package of Self-Organizing Recurrent Neural Networks (SORN) and Neuro-robotics using OpenAI Gym☆39Updated last year
- Benchmark for learning stiff problems using physics-informed machine learning☆12Updated 4 years ago
- Bayesian Bandits☆68Updated 2 years ago
- RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical sy…☆98Updated 2 years ago
- A set of jupyter notebooks for the practice of TDA with the python Gudhi library together with popular machine learning and data sciences…☆28Updated 6 months ago
- Course 5SSD0 - Bayesian Machine Learning and Information Processing☆50Updated 4 months ago
- Neat Bayesian machine learning examples☆58Updated last month
- This is a repository of scripts developed as part of the 2020 ENCMP100 Section B3 lecture taught at University of Alberta.☆10Updated 5 years ago
- computes most of information functions (joint entropy, conditional, mutual information, total correlation information distance) and deep …☆40Updated 3 years ago
- ☆11Updated 5 years ago
- Embed strange attractors using a regularizer for autoencoders☆135Updated 4 years ago
- A paper describing the implementation of PySR and SymbolicRegression.jl☆65Updated last year
- ☆31Updated 3 years ago
- Material for the hands-on tutorial on Graph Deep Learning held at the Alan Turing Institute☆59Updated 2 years ago
- Tutorials for the Machine Learning for Time Series class - Master MVA (2021/2022)☆11Updated 3 years ago
- This project provides Slow Feature Analysis as a scikit-learn-style package.☆41Updated 2 years ago
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆26Updated 3 years ago
- Discrete, Gaussian, and Heterogenous HMM models full implemented in Python. Missing data, Model Selection Criteria (AIC/BIC), and Semi-Su…☆80Updated 2 years ago