-
The XX_PFresGO_best_train_model.h5 /model_weights/model/encoder2/kernel:0 has a shape of (64, 256) . When running predict.py with the default arguments it results in the error: ValueError: Cannot ass…
-
### Problem
Some **tensorflow** training unit tests require the following extra config in `conftest.py`, especially for **spark** backend. Some **ray** backend uts also use this config.
```python
c…
-
Published version: http://advances.sciencemag.org/content/4/7/eaap7885
Pre-print: https://arxiv.org/abs/1711.10907
> We propose a novel computational strategy based on deep and reinforcement learn…
-
## Detailed Description
It would be great to bench mark the model
## Context
Always good to benchmark
## Possible Implementation
- a model could use the mean pv value, obviously this model …
-
Hi,
I want to take some density matrices at varying levels of convergence and pass them into an ML model I have built based on the 3-21G* basis to predict the Hamiltonian. I also want to do the sam…
-
## Background
- 복잡하게 이루어진 baseline 코드를 원활한 실험을 위해 재구성
- Dense Embedding 방법을 적용하기 위함
- (option) Generation 방법도 생각
## Todo
- [x] 재구성할 모듈들 도식화
- [x] Baseline 코드 재구성 (with Transformers)
-
More libraries to test against: pymatgen, centrosome
See https://github.com/gatagat/lap/issues/9
-
Hello, I have been given the following attribute error from running precise-listen
Environment: Mac OS X 10.13.2, installed play command, already trained xxx.net
Output:
```sh
(.venv) mycroft-…
-
I'm trying to differentiate through `predict_fn` provided by https://github.com/google/neural-tangents. This is doable with `jax.grad`, but not with `eagerpy.value_and_grad`.
ybj14 updated
4 years ago
-
Hi
I notice there is a "layer_per_stage" parameter in cifar100 pytorch implementation:
https://github.com/Lyken17/SparseNet/blob/master/src/pytorch/denselink.py#L154
model1-BC (depth=100, k1=16, k2…