Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
-
Updated
Jun 1, 2024 - Rust
Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns.
Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
Brainchop: In-browser 3D MRI rendering and segmentation
Determining chess game state from an image.
Custom YOLOv5 fork for the Insect Detect DIY camera trap.
Randomized and quasi-randomized nnetworks for supervised learning and multivariate time series forecasting
Statistical/Machine Learning using Randomized and Quasi-Randomized (neural) networks (currently Python & R)
An Open Source Machine Learning Framework for Everyone
A tool for cell instance aware segmentation in densely packed 3D volumetric images
Science & ML Research
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Open-source simulator for autonomous driving research.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
A repository containing the deep learning-based geomagnetic storm forecasting model development codes
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Up-sampling and denoising signals using a deep neural network model
Blog Website
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
music generation with masked transformers!