-
We have some interesting operators on DynamicPPL models, such as `condition` / `decondition`, `fix`, and `generated_quantities`. The advantage of these operators is that models can be specified withou…
yebai updated
2 months ago
-
I found torch implementation of minibatch discrimination
(https://github.com/qassemoquab/stnbhwd/blob/batchDisc/L1DistanceBatchMat.lua)
-
Towards implementing [arXiv:2310.12403](https://arxiv.org/pdf/2310.12403.pdf).
Background on Cooperative Minibatching's history:
Aug 2022: #4337 was the first publicly available full implementat…
-
I'm looking to use the GPU implementation of Spectra as mentioned in issue #21.
When you load `from Spectra import Spectra_gpu as spc_gpu` you get this info:
```
Spectra GPU support is still u…
-
**Notebook title**: Variational Inference: Bayesian Neural Networks
**Notebook url**: https://www.pymc.io/projects/examples/en/latest/variational_inference/bayesian_neural_network_advi.html
## Iss…
-
### Describe your feature request
Would it be possible to allow gradient accumulation for DQN? Or is there an algorithmic reason why huge batches for gradient calculation aren't useful for DQN? …
-
Hi there,
in a2c_common.py line 194:
` self.minibatch_size = self.config.get('minibatch_size', self.num_actors * self.minibatch_size_per_env)
`
shouldn't it be
` self.minibatch_s…
-
#### Is your feature request related to a problem? Please describe.
It is hard to train with large data/high-dimension language embedding with fairlearn because it requires passing in the whole x mat…
-
The [primary codepath](https://github.com/JoshVarty/pytorch-retinanet/issues/1) starts a number of threads that loads images from disk in minibatches.
The minibatch loader codepath is much smaller,…
-
Please, tell me how to use minibatch size? What is means? Have you some recomendation?