33 Open source projects that are alternatives of or similar to limit-label-memorization

📜 Collection of the most awesome Math learning resources in the form of notes, videos and cheatsheets.

An Emacs major mode for creating anki cards

We propose a new Portfolio Management strategy combining Log-Optimal based Strategy and Reinforcement-Learning based Strategy.

Resources and Implementations (PyTorch) for Information Theoretical concepts in Deep Learning

Awesome list for Neural Network Optimization methods.

Information Theory Toolkit

Source code and dataset for the CCKS201 paper "On Robustness and Bias Analysis of BERT-based Relation Extraction"

Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-dimensional data

Probabilistic question-asking system: the program asks, the users answer. The minimal goal of the program is to identify what the user needs (a target), even if the user is not aware of the existence of such a thing/product/service.

Code for 3D Reconstruction of Novel Object Shapes from Single Images paper

Implementation of linear CorEx and temporal CorEx.

A simple lightweight set of implementations and bindings for compression algorithms written in Go.

A flashcard app for Android.

[CVPR 2021] SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration

Periodic time series analysis tools based on information theory

Generate any a-by-( b + c ) finite rectangle SVG containing potentially Infinitely many a-by-( 2 * b ) finite rectangles animated along a number line of ( ( c - b ) / a )^n scale symmetry.

Implementation of Information Dropout

The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We develop a method for analyzing emerging functional modularity in neural networks based on differentiable weight masks and use it to point out important issues in current-day neural networks.

generalize counter-examples of property-based testing

This repository contains code to replicate the experiments given in NeurIPS 2019 paper "One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers"

The HSIC Bottleneck: Deep Learning without Back-Propagation

Computing various norms/measures on over-parametrized neural networks

ML/DL/RL paper notes

The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We significantly improve the systematic generalization of transformer models on a variety of datasets using simple tricks and careful considerations.

Simple (but often Strong) Baselines for POMDPs in PyTorch - ICML 2022

Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)

A brainwallet refers to the concept of storing Bitcoins in one's own mind by memorization of a passphrase

Uncertainty and causal emergence in complex networks

Winning Solution of the NeurIPS 2020 Competition on Predicting Generalization in Deep Learning

In addition to helping you memorise, this code helps you do other things that I don't remember...

Powerful modern math library for PHP: Features descriptive statistics and regressions; Continuous and discrete probability distributions; Linear algebra with matrices and vectors, Numerical analysis; special mathematical functions; Algebra

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Awesome Domain Adaptation Python Toolbox