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annotated-mamba

Annotated version of the Mamba paper

awesome-ebm

Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)

bert-token-embeddings

bootcamp

부트캠프

c2d

PyTorch implementation of "Contrast to Divide: self-supervised pre-training for learning with noisy labels"

comlasso

comlasso-1

C programming for ComLasso

ctc_tensorflow_example

CTC + Tensorflow Example for ASR

ctcdecoder

Connectionist Temporal Classification (CTC) decoding algorithms: best path, prefix search, beam search and token passing. Implemented in Python and OpenCL.

deepcca

An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with Keras.

dl_lectures

end-to-end-asr-pytorch

This is an open source project (formerly named Listen, Attend and Spell - PyTorch Implementation) for end-to-end ASR implemented with Pytorch, the well known deep learning toolkit.

h3

Language Modeling with the H3 State Space Model

klr

Simulation Code for "Kernel logistic regression based on rankings as covariates"

kobert

Korean BERT pre-trained cased (KoBERT)

ls

LS dt academy

ls_dt

LS_DT

machine-learning

《나의 첫 머신러닝/딥러닝》 예제 코드

main

microbiome

sparse learning in microbiome data analysis

mixed-variate-rbm

mle_thurstone

Regularized Thurstone Model

nsmc

Naver sentiment movie corpus

presentation

데이터분석프로젝트

presentation2

데이터분석프로젝트

real-world-machine-learning

Code accompanying the Real-World Machine Learning book

semantic-segmentation-tutorial-pytorch

A simple PyTorch codebase for semantic segmentation using Cityscapes.

sparsekk-means

stanford-ctc

Neural net code for lexicon-free speech recognition with connectionist temporal classification

tabnet

PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf