Lei Li

ByteDance AI Lab
  • Byseqlib: A High Performance Inference Library for Sequence Modelling, Generation, and Machine Translation. With the custom CUDA implementation, it achieves 10x speed-up over the original tensorflow seq2seq package. [Github repo]
  • BLOG: a probabilistic programming language for machine learning
  • Swift: a compiler for the probabilistic programming language BLOG.
  • DynaMMo: learning toolbox for multi-dimensional co-evolving time series. github page
  • CLDS: complex-valued linear dynamical system
  • PLiF: time-shift-invariant feature extraction for time series
  • BoLeRO: human motion capture occlution recovering
  • paralearn: a parallel algorithm for learning Markov models and linear dynamical systems (i.e. Kalman filter)
  • MLDS: learning dynamical model for tensor time series