ivy
robot
ivy | robot | |
---|---|---|
1 | 5 | |
10,475 | 52 | |
- | - | |
10.0 | 7.2 | |
about 1 year ago | 9 months ago | |
Python | Python | |
GNU General Public License v3.0 or later | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ivy
-
Need internship/part time role in AI/ML/Data Science field.
As a volunteer developer at Ivy, I also been actively contributing to the project for several months now. I extended the Ivy Functional API by adding some linear algebra functions - matrix_exp (https://github.com/ivy-dl/ivy/blob/dev/ivy/linalg/matrix_exp.py) and diff (https://github.com/ivy-dl/ivy/blob/dev/ivy/linalg/diff.py) - to all four popular deep learning frameworks: NumPy, TensorFlow, PyTorch, and JAX. These functions allowed developers to perform matrix exponentiation and differentiation operations more efficiently and easily using any of these frameworks.
robot
- Ivy – The Unified Machine Learning Framework
-
First 2022 newsletter 🚀 Many upcoming events
(February 28) - Unifying all Machine Learning Frameworks. This is a hands-on interactive coding session and live demo. We will explain how Ivy is solving an ML unification problem.
-
Unifying all Machine Learning Frameworks - Link to a free online lecture by the author in comments
In this talk, we will show how unifying all Machine Learning (ML) frameworks could save everybody a HUGE amount of time and energy. Through interactive coding sessions and live demos, we will explain how Ivy (checkout lets-unify.ai) is solving this unification problem. We will focus on demos using Ivy’s 3D vision and robotics libraries, solving 3D robotic navigation and perception tasks in a 3D simulator, all in real-time. Checkout https://github.com/ivy-dl/robot for examples! Finally, we will explore how you can join and contribute to the growing Ivy community, and help us in our mission to truly unify all ML frameworks once and for all.
What are some alternatives?
machine_learning_refined - Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).
Autonomous-Parking - Automatic parallel parking system including path planning, path tracking, and parallel parking in a designed environment written in python. [Moved to: https://github.com/Pandas-Team/Automatic-Parking]
tensorboardX - tensorboard for pytorch (and chainer, mxnet, numpy, ...)
robot - Functions and classes for gradient-based robot motion planning, written in Ivy. [Moved to: https://github.com/unifyai/robot]
foolbox - A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
thinc - 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
pennylane - PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.
sagemaker-python-sdk - A library for training and deploying machine learning models on Amazon SageMaker
tensor-sensor - The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorflow, keras, fastai.
ivy - The Unified AI Framework
leptonai - A Pythonic framework to simplify AI service building
horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.