There are 19 repositories under end-to-end topic.
E2E test framework for Angular apps
Facebook AI Research's Automatic Speech Recognition Toolkit
Full-stack testing PHP framework
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models
Shows how the CFT modules can be composed to build a secure cloud foundation
[ICLR'23 Spotlight] MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction
A PyTorch implementation of Speech Transformer, an End-to-End ASR with Transformer network on Mandarin Chinese.
NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature engineering and preprocessing to training deep learning models and running inference in production.
A neural network for end-to-end speech denoising
Open-Source Toolkit for End-to-End Speech Recognition leveraging PyTorch-Lightning and Hydra.
End-to-end Lane Detection for Self-Driving Cars (ICCV 2019 Workshop)
Open-Source Toolkit for End-to-End Korean Automatic Speech Recognition leveraging PyTorch and Hydra.
[ECCV2022] MOTR: End-to-End Multiple-Object Tracking with TRansformer
inspectIT is the leading Open Source APM (Application Performance Management) tool for analyzing your Java (EE) applications.
Code for the paper STN-OCR: A single Neural Network for Text Detection and Text Recognition
Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"
End-to-End Neural Diarization
[CVPR2023] MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object Detectors
国内首个占据栅格网络全栈课程《从BEV到Occupancy Network,算法原理与工程实践》,包含端侧部署。Surrounding Semantic Occupancy Perception Course for Autonomous Driving (docs, ppt and source code) 在线课程主页:http://111.229.117.200:8100/ (作者独立搭建)
End-to-End speech recognition implementation base on TensorFlow (CTC, Attention, and MTL training)
Tensorflow Implementation of Knowledge-Guided CVAE for dialog generation ACL 2017. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU
VISinger 2: High-Fidelity End-to-End Singing Voice Synthesis Enhanced by Digital Signal Processing Synthesizer
End-to-End Automatic Speech Recognition on PyTorch
RelTR: Relation Transformer for Scene Graph Generation: https://arxiv.org/abs/2201.11460v2
A PyTorch implementation of Listen, Attend and Spell (LAS), an End-to-End ASR framework.
"SOLQ: Segmenting Objects by Learning Queries", SOLQ is an end-to-end instance segmentation framework with Transformer.