本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）

This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."

Python code for "Probabilistic Machine learning" book by Kevin Murphy

Python Implementation of Reinforcement Learning: An Introduction

Speech-to-text, text-to-speech, speaker diarization, speech enhancement, source separation, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Andr…

This is MFCC c++ code

keywords recognition via MFCC and DTW

The dataset of Speech Recognition

Noise-Tolerant Paradigm for Training Face Recognition CNNs [Official, CVPR 2019]

Unofficial reimplementation of ECAPA-TDNN for speaker recognition (EER=0.86 for Vox1_O when train only in Vox2)

Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

Noise Conditional Score Networks (NeurIPS 2019, Oral)

机器学习算法的公式推导以及numpy实现

一本系统地教你将深度学习模型的性能最大化的战术手册。

A playbook for systematically maximizing the performance of deep learning models.

🔊 Text-Prompted Generative Audio Model

Pytorch🍊🍉 is delicious, just eat it! 😋😋

《Pytorch模型训练实用教程》中配套代码

Second edition of Springer Book Python for Probability, Statistics, and Machine Learning

A collection of various deep learning architectures, models, and tips

GoogleTest - Google Testing and Mocking Framework

Pytorch Implementations of large number classical backbone CNNs, data enhancement, torch loss, attention, visualization and some common algorithms.

[ICCV'23] Official repository of paper SwiftFormer: Efficient Additive Attention for Transformer-based Real-time Mobile Vision Applications

[CADL'22, ECCVW] Official repository of paper titled "EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications".

This repository contains the official implementation of GhostFaceNets, State-Of-The-Art lightweight face recognition models.

label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful