Espresso: A Fast End-to-End Neural Speech Recognition Toolkit
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Updated
Sep 4, 2024 - Python
Espresso: A Fast End-to-End Neural Speech Recognition Toolkit
Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models
PhoBERT: Pre-trained language models for Vietnamese (EMNLP-2020 Findings)
BERTweet: A pre-trained language model for English Tweets (EMNLP-2020)
Pervasive Attention: 2D Convolutional Networks for Sequence-to-Sequence Prediction
Transformer-based image captioning extension for pytorch/fairseq
Towards Neural Phrase-based Machine Translation
PyTorch implementation of "data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language" from Meta AI
[IJCAI 2024] EAT: Self-Supervised Pre-Training with Efficient Audio Transformer
Reparameterized Discrete Diffusion Models for Text Generation
Team Kakao&Brain's Grammatical Error Correction System for the ACL 2019 BEA Shared Task
Neural macine translation soft alignment visualisations for web and command line
The source code for the Cutoff data augmentation approach proposed in this paper: "A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation".
SSM-DTA: Breaking the Barriers of Data Scarcity in Drug-Target Affinity Prediction (Briefings in Bioinformatics 2023)
A mini, simple, and fast end-to-end automatic speech recognition toolkit.
[NeurIPS 2024] Stabilize the Latent Space for Image Autoregressive Modeling: A Unified Perspective
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