tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
このトピックのトレンドリポジトリ(24件)
An Open Source Machine Learning Framework for Everyone
f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
OpenBBは、株価や経済指標などの金融データをさまざまなデータソースから集めて、Python・Excel・AIエージェント・REST API(ソフト同士をつなぐ仕組み)など複数の場所から簡単に使えるようにするオープンソースのデータプラット
Learn it. Build it. Ship it for others.
12 Weeks, 24 Lessons, AI for All!
Deepfakes Software For All
We write your reusable computer vision tools. 💜
A community-supported supercharged document management system: scan, index and archive all your documents
Perplexicaは、インターネット上の情報をAIが読み取り、出典付きで正確な回答を返してくれるプライバシー重視の検索エンジンです。Googleのように検索するだけでなく、AIが内容を要約して「答え」を教えてくれるのが特徴で、情報源も一緒
The Modular Platform (includes MAX & Mojo)
Machine Learning Systems
Production-grade Rust-native trading engine with deterministic event-driven architecture
FinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic data tools, designed for interactive exploration and data-driven decision-making in a user-friendly environment.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Code for Machine Learning for Algorithmic Trading, 2nd edition.
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
Build local voice agents with open-source models
⚡ TabPFN: Foundation Model for Tabular Data ⚡
Become a cracked AI/ML Research Engineer
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.