monkquan Goto Github PK

llm-cookbook

面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

machine-learning-for-trading

Code for Machine Learning for Algorithmic Trading, 2nd edition.

mainflux

Industrial IoT Messaging and Device Management Platform

mastering-llms

In this repo you will find a roadmap to master Large Language Models

mobile-aloha

Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation

moss

An open-source tool-augmented conversational language model from Fudan University

one-api

OpenAI 接口管理 & 分发系统，支持 Azure、Anthropic Claude、Google PaLM 2 & Gemini、智谱 ChatGLM、百度文心一言、讯飞星火认知、阿里通义千问、360 智脑以及腾讯混元，可用于二次分发管理 key，仅单可执行文件，已打包好 Docker 镜像，一键部署，开箱即用. OpenAI key management & redistribution system, using a single API for all LLMs, and features an English UI.

openbiomed

paddlespatial

PaddleSpatial is an open-source spatial-temporal computing tool based on PaddlePaddle.

peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

promptappgpt

A rapid prompt app development framework based on GPT

qlib

Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

qlora

QLoRA: Efficient Finetuning of Quantized LLMs

quantstrategiesdemo

基于互联网公开的aioquant量化交易框架资料, 学习掌握量化交易的过程和交易系统的开发

qwen

The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.

ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.

roadmap-to-learn-generative-ai-in-2024

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

simple_generative_in_pytorch

stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

text2room

Text2Room generates textured 3D meshes from a given text prompt using 2D text-to-image models.

tfc-pretraining

Self-supervised contrastive learning for time series via time-frequency consistency

the-algorithm

Source code for Twitter's Recommendation Algorithm

the-algorithm-ml

Source code for Twitter's Recommendation Algorithm

trademaster

TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning :fire: :zap: :rainbow:

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

universeg

UniverSeg: Universal Medical Image Segmentation

vista

Data-driven simulation for training and evaluating full-scale autonomous vehicles.