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exploring-nasas-turbofan-dataset

collection of predictive maintenance solutions for NASAs turbofan (CMAPSS) dataset

facmac

fem-beam-model-dynamic-analysis

2D/3D Finite Element (FEM) beam model using Newmark Method for dynamic analysis

few-shot-transfer-learning

Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine

few_shot_distribution_calibration

[ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration

fewshot-can

Code of Cross Attention Network for Few-shot Classification (NeurIPS 2019).

fewshotwithoutforgetting

flappy-bird-deep-q-learning-pytorch

Deep Q-learning for playing flappy bird game

fourierflow

[ML4PS @ NeurIPS 2021] Factorized Fourier Neural Operators

fscil

Official repository for Few-Shot Class-Incremental Learning (FSCIL)

fss

Prototype-based Incremental Few-Shot Semantic Segmentation

gaussian-processes-regression-tutorial

An Intuitive Tutorial to Gaussian Processes Regression

go-eureqa

Open source clone of the Eureqa software

google-research

Google Research

gpl

Powerful unsupervised domain adaptation method for dense retrieval. Requires only unlabeled corpus and yields massive improvement: https://arxiv.org/abs/2112.07577

guarantee_learning_control

Model Free Reinforcement Learning with Control Theoretic Guarantee

gym-hybrid

Collection of OpenAI parametrized action-space environments.

hippo-code

homotl-oddm

Homogeneous Online Transfer Learning with Online Distribution Discrepancy Minimization

icarl

PyTorch Implementation of iCaRL

ident-latent-sde

Code for paper "Identifying Latent Stochastic Differential Equations"

ila-da

incremental-learning-icarl

informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

jaxrl

JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

keras-lmu3

Keras implementation of Legendre Memory Units

l2t-ww

Learning What and Where to Transfer (ICML 2019)

laplace

Laplace approximations for Deep Learning.

lassonet

Feature selection in neural networks