AI
人工智能、机器学习、深度学习与大模型相关项目
共 1368 个源码项目claudia-bot-builder
Create chat bots for Facebook Messenger, Slack, Amazon Alexa, Skype, Telegram, Viber, Line, GroupMe, Kik and Twilio and deploy to AWS Lambda in minutes
DeepMind-Atari-Deep-Q-Learner
The original code from the DeepMind article + my tweaks
DataFrames.jl
In-memory tabular data in Julia
Metaworld
Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning
Awesome-Deep-Learning-Resources
Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier
oryx
Oryx 2: Lambda architecture on Apache Spark, Apache Kafka for real-time large scale machine learning
twitterbio
Generate your Twitter bio with AI
sharegpt
Easily share permanent links to ChatGPT conversations with your friends
MemNN
Memory Networks implementations
lightning-bolts
Toolbox of models, callbacks, and datasets for AI/ML researchers.
NeuroNER
Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.
YOLO_tensorflow
tensorflow implementation of 'YOLO : Real-Time Object Detection'
OpenAISwift
This is a wrapper library around the ChatGPT and OpenAI HTTP API
OpenFarm
A free and open database for farming and gardening knowledge. You can grow anything!
scibert
A BERT model for scientific text.
Chinese-medical-dialogue-data
Chinese medical dialogue data 中文医疗对话数据集
ThinkBayes
Code repository for Think Bayes.
swift-coreml-transformers
Swift Core ML 3 implementations of GPT-2, DistilGPT-2, BERT, and DistilBERT for Question answering. Other Transformers coming soon!
HLearn
Homomorphic machine learning
bindsnet
Simulation of spiking neural networks (SNNs) using PyTorch.
auto_ml
[UNMAINTAINED] Automated machine learning for analytics & production
subsai
🎞️ Subtitles generation tool (Web-UI + CLI + Python package) powered by OpenAI's Whisper and its variants 🎞️
hyperopt-sklearn
Hyper-parameter optimization for sklearn
aigc
《构筑大语言模型应用:应用开发与架构设计》一本关于 LLM 在真实世界应用的开源电子书,介绍了大语言模型的基础知识和应用,以及如何构建自己的模型。其中包括Prompt的编写、开发和管理,探索最好的大语言模型能带来什么,以及LLM应用开发的模式和架构设计。
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