symbolicai
jaxopt
symbolicai | jaxopt | |
---|---|---|
2 | 1 | |
891 | 891 | |
3.0% | 1.2% | |
9.6 | 7.8 | |
3 days ago | 16 days ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
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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
jaxopt
What are some alternatives?
torchopt - TorchOpt is an efficient library for differentiable optimization built upon PyTorch.
jax - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
symscribe - Whisper-based transcription tool with chapter segmentation and timestamp handling.
einops - Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
datasets - TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
PyNeuraLogic - PyNeuraLogic lets you use Python to create Differentiable Logic Programs
pyprobml - Python code for "Probabilistic Machine learning" book by Kevin Murphy
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/