symbolicai
torchopt
| symbolicai | torchopt | |
|---|---|---|
| 2 | 1 | |
| 891 | 501 | |
| 2.7% | 3.6% | |
| 9.6 | 7.1 | |
| 2 days ago | about 10 hours ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
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symbolicai
- Show HN: SymbolicAI
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Meet SymbolicAI: The Powerful Framework That Combines The Strengths Of Symbolic Artificial Intelligence (AI) And Large Language Models
Github: https://github.com/Xpitfire/symbolicai
torchopt
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What is the most efficient approach to ensemble a pytorch actor-critic model?
I would suggest checking https://pytorch.org/functorch/ and https://github.com/metaopt/torchopt for efficient inference and training with ensembles (e.g., t be independent actors in a multi-agent setting or multiple critics).
What are some alternatives?
symscribe - Whisper-based transcription tool with chapter segmentation and timestamp handling.
jaxopt - Hardware accelerated, batchable and differentiable optimizers in JAX.
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Adan-pytorch - Implementation of the Adan (ADAptive Nesterov momentum algorithm) Optimizer in Pytorch
theseus - A library for differentiable nonlinear optimization
PyNeuraLogic - PyNeuraLogic lets you use Python to create Differentiable Logic Programs
functorch - functorch is JAX-like composable function transforms for PyTorch.
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.