torchopt
symbolicai
torchopt | symbolicai | |
---|---|---|
1 | 2 | |
501 | 891 | |
4.4% | 3.0% | |
7.1 | 9.6 | |
3 days ago | 5 days 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.
torchopt
-
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).
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?
jaxopt - Hardware accelerated, batchable and differentiable optimizers in JAX.
symscribe - Whisper-based transcription tool with chapter segmentation and timestamp handling.
Adan-pytorch - Implementation of the Adan (ADAptive Nesterov momentum algorithm) Optimizer in Pytorch
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
theseus - A library for differentiable nonlinear optimization
functorch - functorch is JAX-like composable function transforms for PyTorch.
PyNeuraLogic - PyNeuraLogic lets you use Python to create Differentiable Logic Programs
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.