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🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and…
Making large AI models cheaper, faster and more accessible
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: …
Investment Research for Everyone, Everywhere.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
You like pytorch? You like micrograd? You love tinygrad! ❤️
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Open standard for machine learning interoperability
A Deep Learning based project for colorizing and restoring old images (and video!)
Stable Diffusion with Core ML on Apple Silicon
A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support
Image augmentation for machine learning experiments.
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Convert Machine Learning Code Between Frameworks
Open deep learning compiler stack for cpu, gpu and specialized accelerators
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. All in a modern, AI-native editor.
An educational resource to help anyone learn deep reinforcement learning.
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
🐍 Geometric Computer Vision Library for Spatial AI
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable,…