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When I am trying to use the example given to train the vicuna 7B model on colab. I am getting the following error.
```
2024-08-25 17:30:20.138324: E external/local_xla/xla/stream_executor/cuda/cuda…
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Hi, I am trying to infer and analyze hidden states in neuron spikings with ZIP-HMM uninitialized and fit the model to data.
`model = DenseHMM([ZeroInflated(Poisson()), ZeroInflated(Poisson()), ZeroIn…
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# Probability
> Probability deals with predicting the likelihood of future events and it is primarily a theoretical branch of mathematics, which studies the consequences of mathematical definitions
#…
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While the [documentation states](https://www.tensorflow.org/probability/api_docs/python/tfp/distributions/Empirical#args) that
> The first k dimensions index into a batch of independent distributi…
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```
Examples:
1. segment probabilities
2. nmv probabilities
3. transform size
4. intra mode and partition probabilities, where forward update may be
benefiical.
```
Original issue reported on code…
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Instead of running our simulations N times, we could take initial probability distributions and derive resulting distributions. Dice and combinations of dice give us either uniform or simple Binomial …
gadse updated
6 years ago
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Thanks for the great paper and code :)
I am confused about how the continuous $x$ values get mapped to discrete values during the reverse diffusion process for Univariate Jacobi Diffusion:
taken…
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## 🚀 Feature
Add `DepthScore`
### Sources:
- Paper: [A Pseudo-Metric between Probability Distributions based on Depth-Trimmed Regions
](https://arxiv.org/pdf/2103.12711.pdf)
- [Repo](https:/…
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I'd like to add support for the Poisson Binomial Distribution: https://en.wikipedia.org/wiki/Poisson_binomial_distribution
into the scipy.stats module. It could be placed under "scipy.stats.pbinom". …
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I'm using tensorflow version 2.11.0 and tensorflow_probability 0.19.0.
The following code succeeds:
```python
import tensorflow as tf
import tensorflow_probability as tfp
class MyModule(tf.Mo…