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Entry

leaf

Appears in 4 awesome lists

open source framework for machine intelligence, sharing concepts from TensorFlow and Caffe. Available under the MIT license. [Deprecated]

Open github.comautumnai/leaf

Found in these lists

Awesome Cloud Native

Section: AI & Machine Learning Platforms · Open Machine Intelligence Framework for Hackers. (GPU/CPU).

FreshScore 87

Awesome Machine Learning

Section: Rust · open source framework for machine intelligence, sharing concepts from TensorFlow and Caffe. Available under the MIT license. [Deprecated]

FreshScore 93

Awesome Rust

Section: Artificial Intelligence · Open Machine Intelligence framework. . Abandoned project. The most updated fork is spearow/juice.

FreshScore 79

Awesome Rust

Section: Artificial Intelligence · Open Machine Intelligence framework.. Abandoned project. The most updated fork is juice.

FreshScore 94

TensorFlow

How to use the Hexagon Delegate to speed up model inference on mobile and edge devices. Also see blog post Accelerating TensorFlow Lite on Qualcomm Hexagon DSPs.

In 23 listsDetails

PyTorch

(label: good first issue) PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing.

In 16 listsDetails

Keras

High-level, beginner-friendly API that now runs on multiple backends (TensorFlow, JAX, PyTorch). Perfect for rapid experimentation.

In 9 listsDetails

shimmy

Python-free Rust inference server with OpenAI API compatibility. Supports GGUF and SafeTensors formats with hot model swap, auto-discovery, and single binary deployment for zero-dependency inference. Apache 2.0 licensed.

In 7 listsDetails

Kubeflow

A cloud-native platform for machine learning based on Google's internal machine learning pipelines.

In 7 listsDetails

tokenizers

Hugging Face's tokenizers for modern NLP pipelines (original implementation) with bindings for Python.

In 6 listsDetails

H2O

Fast scalable Machine Learning platform for smarter applications: Deep Learning, Gradient Boosting & XGBoost, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), etc..

In 6 listsDetails

Seldon Core

An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models on Kubernetes.

In 6 listsDetails