jaxopt
symbolicai
Our great sponsors
| jaxopt | symbolicai | |
|---|---|---|
| 1 | 2 | |
| 888 | 884 | |
| 1.6% | 5.2% | |
| 7.8 | 9.6 | |
| 2 days ago | 1 day ago | |
| Python | Python | |
| Apache License 2.0 | BSD 3-clause "New" or "Revised" License |
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.
jaxopt
symbolicai
- Show HN: SymbolicAI
-
Meet SymbolicAI: The Powerful Framework That Combines The Strengths Of Symbolic Artificial Intelligence (AI) And Large Language Models
Github: https://github.com/Xpitfire/symbolicai
What are some alternatives?
jax - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
torchopt - TorchOpt is an efficient library for differentiable optimization built upon PyTorch.
einops - Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
symscribe - Whisper-based transcription tool with chapter segmentation and timestamp handling.
pyprobml - Python code for "Probabilistic Machine learning" book by Kevin Murphy
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
PyNeuraLogic - PyNeuraLogic lets you use Python to create Differentiable Logic Programs
datasets - TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
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.
optimistix - Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/