#自然语言处理#[KDD'22] Learned Token Pruning for Transformers
#计算机科学#Implementation of MEGABYTE, Predicting Million-byte Sequences with Multiscale Transformers, in Pytorch
TensorFlow implementation of "TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?"
#计算机科学#My attempts at applying Soundstream design on learned tokenization of text and then applying hierarchical attention to text generation
A PyTorch implementation of "TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?"
the official repository of 《ECT: Fine-grained Edge Detection with Learned Cause Tokens》
#区块链#In this course, students will learn about the fundamentals of blockchain technology as well as the cryptocurrencies built on top of it. Module 1 serves as an intro to the concept of blockchains, crypt...
#自然语言处理#Parameter-efficient transformer embeddings replace learned embeddings with hardware-aware polynomial expansions of token IDs.
learned Token and authenticating
Today I Learned
Adversarially Learned Inference
Machine learned bracketology
#自然语言处理#Fast, Consistent Tokenization of Natural Language Text
High speed text tokenization for Ruby
#自然语言处理#利用传统方法(N-gram,HMM等)、神经网络方法(CNN,LSTM等)和预训练方法(Bert等)的中文分词任务实现【The word segmentation task is realized by using traditional methods (n-gram, HMM, etc.), neural network methods (CNN, LSTM, etc.) and pre tr...
#计算机科学#A Thai word tokenization library using Deep Neural Network
A Benchmark for Learned Indexes
#计算机科学#Learned Primal-Dual Reconstruction
#大语言模型#[ECCV2024] Grounded Multimodal Large Language Model with Localized Visual Tokenization
Simple baselines for "Learned Indexes"
A Single-Pass Learned Index