Popular GitHub Repositories for Transition

Translate the video from one language to another and add dubbing. 将视频从一种语言翻译为另一种语言，同时支持语音识别转录、语音合成、字幕翻译。

Research papers and blogs to transition to AI Engineering

[ICLR 2024] SEINE: Short-to-Long Video Diffusion Model for Generative Transition and Prediction

Graph-based and Transition-based dependency parsers based on BiLSTMs

Install Tiledesk on your server using Helm for Kubernetes orchestration and Docker Compose for running multi-container Docker applications. Tiledesk provides an open-source solution comparable to Voiceflow, empowering you to create sophisticated LLM-enabled chatbots that seamlessly transition interactions to human agents when needed.

[ICCV 2019]Aggregation via Separation: Boosting Facial Landmark Detector with Semi-Supervised Style Transition

Neural word segmentation with rich pretraining, code for ACL 2017 paper

Apache Liminals goal is to operationalise the machine learning process, allowing data scientists to quickly transition from a successful experiment to an automated pipeline of model training, validation, deployment and inference in production. Liminal provides a Domain Specific Language to build ML workflows on top of Apache Airflow.

Fit hidden Markov models using Template Model Builder (TMB): flexible state-dependent distributions, transition probability structures, random effects, and smoothing splines.

Neural network transition-based dependency parser (in Rust)

Transition-based NER system

simona is an agent-based discrete-event power system simulation model developed @ie3-institute

Pytorch implementation of Graph-to-Graph Transformer for Transition-based Dependency Parsing accepted to EMNLP 2020

Pytorch code for "State-only Imitation with Transition Dynamics Mismatch" (ICLR 2020)

Pytorch implementation of Markov RNNs

Expanding linear RNN state-transition matrix eigenvalues to include negatives improves state-tracking tasks and language modeling without added training or inference costs.

This project presents a comprehensive study on video dubbing techniques and the development of a specialized video dubbing system.

DeltaProduct is a new linear recurrent neural network architecture that uses products of generalized Householder matrices as state-transition matrices enabling better expressivity, state-tracking, and language modeling performance than DeltaNet.

Machine Learning Transition State Analysis (MLTSA) suite with Analytical models to create data on demand and test the approach on different types of data and ML models.

The goal of the project is to make a robot plan its path from a source to the destination and reach the destination only by evidence and its previous transition.