charliezcr

ChatTTS

A generative speech model for daily dialogue.

swift

ms-swift: Use PEFT or Full-parameter to finetune 250+ LLMs or 35+ MLLMs. (Qwen2, GLM4, Internlm2, Yi, Llama3, Llava, Deepseek, Baichuan2...)

lerobot

🤗 LeRobot: End-to-end Learning for Real-World Robotics in Pytorch

agentscope

Start building LLM-empowered multi-agent applications in an easier way.

awesome_LLMs_interview_notes

LLMs interview notes and answers:该仓库主要记录大模型（LLMs）算法工程师相关的面试题和参考答案

LLMSurvey

The official GitHub page for the survey paper "A Survey of Large Language Models".

paper-reading

深度学习经典、新论文逐段精读

roop

one-click face swap

DCASE_Task2_UMINHO

awesome-bigdata

A curated list of awesome big data frameworks, ressources and other awesomeness.

machine-learning-articles

🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

db3

a Lightweight, Permanent JSON document database

VoiceprintRecognition-Pytorch

This project uses a variety of advanced voiceprint recognition models such as EcapaTdnn, ResNetSE, ERes2Net, CAM++, etc. It is not excluded that more models will be supported in the future. At the same time, this project also supports MelSpectrogram, Spectrogram data preprocessing methods

wavenet-classifier

Keras Implementation of Deepmind's WaveNet for Supervised Learning Tasks

AutoGPT

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

Deep-Learning-Image-Segmentation

A Theory and Practical Guide to Deep Learning Semantic Segmentation

run

润学全球官方指定GITHUB，整理润学宗旨、纲领、理论和各类润之实例；解决为什么润，润去哪里，怎么润三大问题； 并成为新**人的核心宗教，核心信念。

ml-glossary

Machine learning glossary

latex-for-science

Brandeis Library workshop materials

leetcode_company_wise_questions

This is a repository containing the list of company wise questions available on leetcode premium

bash-shell-skills

Python-for-Data-Science

This repository contains iPython notebooks to get you started with sufficient amount of Python you need to learn to get started with your Data Science Journey.

Data-Science-Interview-Resources

A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

python-scraping

Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do