shun-ryu Goto Github PK

evidential-deep-learning

Learn fast, scalable, and calibrated measures of uncertainty using neural networks!

evidential-learning-pytorch

Evidential Deep Learning in PyTorch

evidently

Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b

excelformer

The pioneering neural network surpassing extremely-tuned XGboost and Catboost on varied tabular datasets.

exploring-generalization

An comparative study on the paper Exploring Generalization in Deep Learning https://papers.nips.cc/paper/7176-exploring-generalization-in-deep-learning.pdf

fable-debugging

face.evolve

🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥

ffi-overhead

comparing the c ffi (foreign function interface) overhead on various programming languages

flet

Flet enables developers to easily build realtime web, mobile and desktop apps in Python. No frontend experience required.

fsharphtmldesktopapp

A starter desktop app which uses HTML and F# for the UI and F# .NET for the API.

ftl_net

Pytorch codes for Feature Transfer Learning for Face Recognition with Under-Represented Data

ft_transformer

DeepLearning for Tabular Data with FT_Transformer & ResNet

geometric-smote

Implementation of the Geometric SMOTE over-sampling algorithm.

google-research

Google Research

htmz

html with targeted manipulation zones

im-select

📟 Switch your input method through terminal

imbalanced-data

Examples of algorithms dealing with imbalanced data.

imbalanced-ensemble

Class-imbalanced / Long-tailed ensemble learning in Python. Modular, flexible, and extensible. | 模块化、灵活、易扩展的类别不平衡/长尾机器学习库

imbalanced-learning

Comparison of different imbalanced classification methods with application to credit card fraud

imbalanced-learning-1

This workshop is part of the "Machine Learning in R" graduate course held at University of Münster, School of Business and Economics (winter term 2020/21). :mortar_board:

imbalanced-regression

[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression

imbalanced-semi-self

[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning

imbalancedlearning

Code for the paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network?" (NeurIPS 2022).

imbalancedlearningregression

Imbalanced Learning Regression

imbalancedlittledata

Trying to solve a imbalanced little data in text sentiment analysis

imm_tensorflow

Overcoming Catastrophic Forgetting by Incremental Moment Matching (IMM)

iron

R Package for Imbalanced Regression

isomap

knowledge-distillation-papers

knowledge distillation papers

knowledge-distillation-pytorch

A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility