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:speaker: Deep Learning & 3D Convolutional Neural Networks for Speaker Verification
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks
🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
A curated list of awesome papers on contextualizing E2E ASR outputs
A curated list of awesome Speaker Diarization papers, libraries, datasets, and other resources.
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)
The source code for the appendix part of the Chinese version of the book Coding Interviews
An implementation of CopyNet
Jupyter notebooks for using & learning Keras
Deep Speaker: an End-to-End Neural Speaker Embedding System https://arxiv.org/pdf/1705.02304.pdf
Keras implementation of ‘’Deep Speaker: an End-to-End Neural Speaker Embedding System‘’ (speaker recognition)
Speaker embedding(verification and recognition) using Pytorch
Speech Recognition using DeepSpeech2.
DeepSpeech, Speech To Text, ASR, Speech recognition, Keras, Tensorflow
Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities.
DenseNet implementation in Keras
Dynamic Group Convolution for Accelerating Convolutional Neural Networks (ECCV 2020)
基于dVector的说话人识别keras
The official repository of the Eesen project
End-to-End Automatic Speech Recognition on PyTorch
End-to-End Speech Processing Toolkit
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
[Preprint] "In Defense of the Triplet Loss Again: Learning Robust Person Re-Identification with Fast Approximated Triplet Loss and Label Distillation" by Ye Yuan, Wuyang Chen, Yang Yang, Zhangyang Wang
Tensorflow implementation of joint modeling of SLU (intent & slot filling) and LM with RNNs.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.