DYJ's starred repositories
leetcode-master
《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
modern-cpp-tutorial
📚 Modern C++ Tutorial: C++11/14/17/20 On the Fly | https://changkun.de/modern-cpp/
ml-visuals
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
pyannote-audio
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
pytorch-kaldi
pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.
An-Introduction-to-Statistical-Learning
This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
dimensionality_reduction_alo_codes
特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现
micronet
micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape
PyTorch-Networks
Pytorch implementation of cnn network
awesome-diarization
A curated list of awesome Speaker Diarization papers, libraries, datasets, and other resources.
ECCV2022-Papers-with-Code
ECCV 2022 论文开源项目合集，同时欢迎各位大佬提交issue，分享ECCV 2020开源项目
yolact_edge
The first competitive instance segmentation approach that runs on small edge devices at real-time speeds.
speech-synthesis-paper
List of speech synthesis papers.
deep-speaker
Deep Speaker: an End-to-End Neural Speaker Embedding System.
pytorch-NetVlad
Pytorch implementation of NetVlad including training on Pittsburgh.
Deep-Compression-PyTorch
PyTorch implementation of 'Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding' by Song Han, Huizi Mao, William J. Dally
Pruning-Filter-in-Filter
Pruning Filter in Filter(NeurIPS2020)
Variational_Discriminator_Bottleneck
Implementation (with some experimentation) of the paper titled "VARIATIONAL DISCRIMINATOR BOTTLENECK: IMPROVING IMITATION LEARNING, INVERSE RL, AND GANS BY CONSTRAINING INFORMATION FLOW" (arxiv -> https://arxiv.org/pdf/1810.00821.pdf)