Popular GitHub Repositories for Bidirectional Decoding

LightSeq: A High Performance Library for Sequence Processing and Generation

Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

? Build your chatbot within minutes on your favorite device; offer SOTA compression techniques for LLMs; run LLMs efficiently on Intel Platforms?

OpenSPG is a Knowledge Graph Engine developed by Ant Group in collaboration with OpenKG, based on the SPG (Semantic-enhanced Programmable Graph) framework. Core Capabilities: 1) domain model constrained knowledge modeling, 2) facts and logic fused representation, 3) natively support KAG...

Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.

Large-scale LLM inference engine

Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN

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

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 论文的中文翻译 Chinese Translation!

DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome

EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.

Named Entity Recognition using multilayered bidirectional LSTM

Python interface to CoreNLP using a bidirectional server-client interface.

Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"

Implementation of Vision Mamba from the paper: "Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model" It's 2.8x faster than DeiT and saves 86.8% GPU memory when performing batch inference to extract features on high-res images

Sentence paraphrase generation at the sentence level

DGMs for NLP. A roadmap.

Official code base for MinD-Video

Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs