zhangmengzxz

zhangmengzxz's Stars

• facebookresearch/fairseq

  Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

  Language:Python30.3k6.4k

• AmitProspeed/LMS-Adaptive-Filter

  An Adaptive Line Enhancer (ALE) based on Least Mean Square (LMS) algorithm to eliminate broadband noise from a narrowband signal

  Language:MATLAB227

• librosa/librosa

  Python library for audio and music analysis

  Language:Python7.1k960

• jefflai108/Contrastive-Predictive-Coding-PyTorch

  Contrastive Predictive Coding for Automatic Speaker Verification

  Language:Python47998

• akamaster/pytorch_resnet_cifar10

  Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.

  Language:Python1.2k334

• huggingface/pytorch-image-models

  The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  Language:Python31.9k4.7k

• WZMIAOMIAO/deep-learning-for-image-processing

  deep learning for image processing including classification and object-detection etc.

  Language:Python22.8k8k

• fry404006308/fry_course_materials

  范仁义录播课资料，会依次推出各种完全免费的前端、后端、大数据、人工智能等课程，课程网站： https://fanrenyi.com ； b站课程地址： https://space.bilibili.com/45664489 ；

  Language:Jupyter Notebook634167

• bharathgs/Awesome-pytorch-list

  A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

  15.4k2.8k

• naver-ai/calm

  Language:Python916

• amusi/ICCV2023-Papers-with-Code

  ICCV 2023 论文和开源项目合集

  2.5k250

• SuperKogito/spafe

  :sound: spafe: Simplified Python Audio Features Extraction

  Language:Python45179

• feelins/Praat_Scripts

  Some basic praat scripts.

  Language:Praat19363

• ys1305/pytorch-note

  pytorch学习笔记-md格式便于下载和修改

  3022

• johnhany/design_patterns

  以深度学习的模型搭建和训练过程为例，解释面向对象编程中22种设计模式的基本原理

  Language:C++72

• open-source-parsers/jsoncpp

  A C++ library for interacting with JSON.

  Language:C++8.1k2.6k

• tostq/Easy_HMM

  A easy HMM program written with Python, including the full codes of training, prediction and decoding.

  Language:Python399114

• tostq/DeepLearningC

  Simple program to learn CNN (LeNet-5) in pure C

  Language:C++267185

• LitLeo/TensorRT_Tutorial

  Language:C++985184

• hgaol/MiniNet

  :speak_no_evil:A mini convolutional neural network toy.

  Language:C++75

• yupeifengyannis/Tiger

  fish动物园之Tiger

  Language:C++31

• vdumoulin/conv_arithmetic

  A technical report on convolution arithmetic in the context of deep learning

  Language:TeX14k2.3k

• TingsongYu/PyTorch_Tutorial

  《Pytorch模型训练实用教程》中配套代码

  Language:Python7.5k1.7k

• worldveil/dejavu

  Audio fingerprinting and recognition in Python

  Language:Python6.4k1.4k

• kaldi-asr/kaldi

  kaldi-asr/kaldi is the official location of the Kaldi project.

  Language:Shell14.2k5.3k

• apache/mxnet

  Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

  Language:C++20.8k6.8k

• mli/cvpr17

  CVPR 2017 Tutorial

  32867

• wangx404/symbol_coding_tutorials_of_MXNet

  MXNet符号式编程中文教程

  3310

• chinakook/Awesome-MXNet

  A curated list of MXNet examples, tutorials and blogs.

  836192

• zhanghang1989/ResNeSt

  ResNeSt: Split-Attention Networks

  Language:Python3.2k495