Software Development Kit (SDK) for the Intel® Geti™ platform for Computer Vision AI model training.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

An Open Source Machine Learning Framework for Everyone

nannyml: post-deployment data science in python

🚀 ⭐ The list of the most popular YOLO algorithms - awesome YOLO

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

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

🤖 Collect practical AI repos, tools, websites, papers and tutorials on AI. 实用的AI百宝箱 💎

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

mlpack: a fast, header-only C++ machine learning library

Streamlit — A faster way to build and share data apps.

Development of machine learning model for instance segmentation of nuclei cells for Kaggle Data Science Bowl 2018 challenge

One Research Framework To Rule Them All

📚 Jupyter notebook tutorials for OpenVINO™

PaddleScience is SDK and library for developing AI-driven scientific computing applications based on PaddlePaddle.

☁️ Build multimodal AI applications with cloud-native stack

NM (Neural Module). It is a scheme for the mindustry game. It is a tool for simulation and training of neural networks (yes, right in the game). NM has its own request-response language, thanks to which you can manage and configure NM. NM uses the Forward-Forward algorithm (presented by Jeffrey Hinton, at the NeurIPS 2022 conference)

Hyperparameters Tuning of Deep Unfolding Networks for Image Enhancement (MPSO-DUN)

GPU-accelerated Next-Generation Network Analytics and Graph Learning for Time Series Data on Complex Networks.

Gather research papers, corresponding codes (if having), reading notes and any other related materials about Hot🔥🔥🔥 fields in Computer Vision based on Deep Learning.