Pinned Repositories
icefall
k2
FSA/FST algorithms, differentiable, with PyTorch compatibility.
icefall
k2
FSA/FST algorithms, differentiable, with PyTorch compatibility.
Read-and-Write-tfrecords-in-Tensorflow
怎样将样本【序列化】写入tfrecords，并读取tfrecords文件，针对序列化任务，如语音识别、NMT等输入输出变长的数据。How to write and read trecords for variable length data or label.
Squeezeformer
Squeezeformer: An Efficient Transformer for Automatic Speech Recognition
wenet
Production First and Production Ready End-to-End Speech Recognition Toolkit
litgpt
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
pytorch-lightning
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
wenet
Production First and Production Ready End-to-End Speech Recognition Toolkit
kobenaxie's Repositories
kobenaxie/Read-and-Write-tfrecords-in-Tensorflow
怎样将样本【序列化】写入tfrecords，并读取tfrecords文件，针对序列化任务，如语音识别、NMT等输入输出变长的数据。How to write and read trecords for variable length data or label.
kobenaxie/icefall
kobenaxie/k2
FSA/FST algorithms, differentiable, with PyTorch compatibility.
kobenaxie/Squeezeformer
Squeezeformer: An Efficient Transformer for Automatic Speech Recognition
kobenaxie/wenet
Production First and Production Ready End-to-End Speech Recognition Toolkit