torchopt
theseus
| torchopt | theseus | |
|---|---|---|
| 1 | 3 | |
| 501 | 1,606 | |
| 4.4% | 1.3% | |
| 7.1 | 8.1 | |
| about 24 hours ago | 4 months ago | |
| Python | Python | |
| Apache License 2.0 | MIT 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).
theseus
- [D] Most Popular AI Research July 2022 pt. 2 - Ranked Based On GitHub Stars
- Most Popular AI Research July 2022 pt. 2 - Ranked Based On GitHub Stars
-
Meta AI Open-Sources Theseus: A Python Library For Encoding Domain Knowledge In End To End Artificial Intelligence Models
Continue reading | Checkout the paper, github link, project and tutorials.
What are some alternatives?
jaxopt - Hardware accelerated, batchable and differentiable optimizers in JAX.
latent-diffusion - High-Resolution Image Synthesis with Latent Diffusion Models
Adan-pytorch - Implementation of the Adan (ADAptive Nesterov momentum algorithm) Optimizer in Pytorch
hivemind - Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.
symbolicai - Compositional Differentiable Programming Library
NUWA - A unified 3D Transformer Pipeline for visual synthesis
functorch - functorch is JAX-like composable function transforms for PyTorch.
yolov7 - Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
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.
Unicorn - [ECCV'22 Oral] Towards Grand Unification of Object Tracking
XMem - [ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
deeplab2 - DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks.