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# perceptron.py
import numpy as np
class Perceptron:
def __init__(self, learning_rate=0.01, n_iters=1000):
self.learning_rate = learning_rate
self.n_iters = n_iters
…
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Hi,
Thank you for availing the library.
I am using LLaMA-3.1 (`unsloth/llama-3-8b-Instruct-bnb-4bit` version) to instruct-tune a model on GSM8K. First, I used the `SFTTrainer` to train a model a…
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I would like to know what is the best way to freeze parameters in a model using `nnx` and `optax` (https://flax.readthedocs.io/en/latest/guides/training_techniques/transfer_learning.html#optax-multi-t…
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Add augmentations from [Disentangling the Effects of Data Augmentation and Format Transform in Self-Supervised Learning of Image Representations](https://arxiv.org/abs/2312.02205).
### Todo
- [ …
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Basically we use self-supervised methods to train depth prediction models. Have you tried self-supervised combined with supervised methods? You know, Nuscenes and DDAD datasets have some sparse point…
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Hi Wan,
Thanks for your great work. I am running your code with command
`python3 network/run_engine.py --initial_model ./pretrained/synthetic.pth --mode Train --model_dir ./output --tag self-su…
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siehe auch https://github.blog/developer-skills/github/how-to-review-code-effectively-a-github-staff-engineers-philosophy
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Hi,
Self-supervised pretraining for speech representation is a promising technique for developing ASR in resource-constraint languages with little transcribed data, and SimCLR is applied with success…
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## Version of the custom_component
## Configuration
```yaml
```
## Describe the bug
No entity has been detect by the integration
## Debug log
```text
2024-06-07 1…
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### Team Name:
* Emilio Pelaez (worked by myself)
### Project Description:
For this project, I used Qiskit to implement the self-learning algorithm introduced in [arXiv:2005.14075](https://…