dachengai

ProtTrans

ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.

7days-golang

7 days golang apps from scratch (web framework Gee, distributed cache GeeCache, object relational mapping ORM framework GeeORM etc) 7天用Go动手写/从零实现系列

athena-signal

audio-SNR

Mixing an audio file with a noise file at any Signal-to-Noise Ratio (SNR)

awesome-go-cn

一个很棒的Go框架、库和软件的中文收录大全。:alarm_clock:脚本定期与英文文档同步，包含了各工程star数/最近更新时间，助您快速发现优质项目。Awesome Go~

chinese-poetry

最全中华古诗词数据库, 唐宋两朝近一万四千古诗人, 接近5.5万首唐诗加26万宋诗. 两宋时期1564位词人，21050首词。

CPlusPlusThings

C++那些事

DeepLearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

Deformable-3D-Gaussians

[CVPR 2024] Official implementation of "Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstruction"

denoiser

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.

espnet

End-to-End Speech Processing Toolkit

HanLP

中文分词 词性标注 命名实体识别 依存句法分析 语义依存分析 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁 自然语言处理

learn-regex

Learn regex the easy way

lstm-crf-pytorch

LSTM-CRF in PyTorch

mediapipe

MediaPipe is a cross-platform framework for building multimodal applied machine learning pipelines

Montreal-Forced-Aligner

Command line utility for forced alignment using Kaldi

nara_wpe

Different implementations of "Weighted Prediction Error" for speech dereverberation

nonparaSeq2seqVC_code

Implementation code of non-parallel sequence-to-sequence VC

nvidia-benchmarks

NVIDIA Deep Learning Benchmarks

pytorch_lstmcrf

Pytorch implementation of LSTM-CRF for named entity recognition

PyTorch_Speaker_Verification

PyTorch implementation of "Generalized End-to-End Loss for Speaker Verification" by Wan, Li et al.

Real-Time-Voice-Cloning

Clone a voice in 5 seconds to generate arbitrary speech in real-time

Resemblyzer

A python package to analyze and compare voices with deep learning

sha-rnn

Single Headed Attention RNN - "Stop thinking with your head"

speechmetrics

A wrapper around speech quality metrics MOSNet, BSSEval, STOI, PESQ, SRMR, SISDR

SqueezeWave

tensorflow-handbook

简单粗暴 TensorFlow 2.0 | A Concise Handbook of TensorFlow 2.0

vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

VOLDOR

VOLDOR-SLAM is a real-time dense-indirect SLAM system takes dense optical flows as input that supports monocular, stereo and RGB-D video sequence.

WaveGrad

Implementation of Google Brain's WaveGrad high-fidelity vocoder (paper: https://arxiv.org/pdf/2009.00713.pdf). First implementation on GitHub.