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Institute for Systems and Robotics
- Portugal
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07:38
(UTC) - https://FMCalisto.github.io/
- https://orcid.org/0000-0001-8179-7872
- @FMCalisto
- @FMCalisto@mastodon.social
- in/fmcalisto
- FMCalisto
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Starred repositories
📚 Freely available programming books
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
All Algorithms implemented in Python
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.
🤗 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.
Models and examples built with TensorFlow
The Python micro framework for building web applications.
Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to clo…
Interact with your documents using the power of GPT, 100% privately, no data leaks
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
The world's simplest facial recognition api for Python and the command line
A collection of learning resources for curious software engineers
Developer-first error tracking and performance monitoring
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
A cryptocurrency trading API with more than 100 exchanges in JavaScript / TypeScript / Python / C# / PHP / Go
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, i…
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
The open source developer platform to build AI agents and models with confidence. Enhance your AI applications with end-to-end tracking, observability, and evaluations, all in one integrated platform.
Best Practices on Recommendation Systems
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"




