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android-discuss

Android 问题交流讨论坛, 微信公众号:codekk, 网站:

android-oboeaudioplayer

Android播放MP3文件（使用FFmpeg解码为PCM，使用AudioTrack/OpenSL ES/Oboe三种不同方式来播放）

brain-tokyo-workshop

🧠🗼

concentus

Pure Portable C# and Java implementations of the Opus audio codec

deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

deepspeedexamples

Example models using DeepSpeed

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

htextview

Animation effects to text, not really textview

javafamily

【互联网一线大厂面试+学习指南】

javaproject

kotlin

The Kotlin Programming Language

llama-factory

A WebUI for Efficient Fine-Tuning of 100+ LLMs (ACL 2024)

llm-rlhf-tuning

LLM Tuning with PEFT (SFT+RM+PPO+DPO with LoRA)

lmdeploy

LMDeploy is a toolkit for compressing, deploying, and serving LLMs.

machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

ml-agents

Unity Machine Learning Agents Toolkit

openrlhf

An Easy-to-use, Scalable and High-performance RLHF Framework (70B+ PPO Full Tuning & Iterative DPO & LoRA & Mixtral)

ppo_transformer

Implementation of Proximal Policy Optimization using Transformer

pspnet-pytorch

PyTorch implementation of PSPNet segmentation network

pumpkin-book

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book

qbot

[🔥updating ...] AI 自动量化交易机器人 AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant

remax

Code for Paper (ReMax: A Simple, Efficient and Effective Reinforcement Learning Method for Aligning Large Language Models)

rl-stock

📈 如何用深度强化学习自动炒股

rllte

Long-Term Evolution Project of Reinforcement Learning

roadarchitect

Road Architect for Unity

shamecom

收集校招污点公司或组织，帮助学弟学妹避雷。互联网不曾遗忘！

ufund-miniprogram

Qbot 微信小程序: 自选基金/股票助手、策略选股、股票盯盘、量化投研智库

unity3dtraining

Unity的练习项目

vllm

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