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In **src/event.rs**, the learning methods are defined as follows:
```rust
/// in src/event.rs
/// Machine Learning Method.
#[derive(Clone, Copy, Eq, PartialEq, Deserialize, Serialize)]
pub enum L…
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#### Summary:
The section on HMMs (under Time-Series models: https://mc-stan.org/docs/stan-users-guide/time-series.html#hmms.section) in the Stan users guide currently doesn't use Stan's dedicated fu…
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# Review-2019.6.10-彭晓婷
## Preview
- 看了论文《Semisupervised Scene Classification for Remote Sensing Images_ A Method Based on Convolutional Neural Networks and Ensemble Learning》 和《Cost-Sensitive Le…
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There's a work quite old (2011) that probably we will have to implement.
[Instance Selection in Semi-supervised Learning.pdf](https://github.com/dpr1005/Semisupervised-learning-and-instance-selecti…
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Came up when trying to do semisupervised learning with GNNs
```julia
julia> using Flux, CUDA
julia> CUDA.allowscalar(false)
julia> gradient(y -> sum(y[:,1:2]), y)
(nothing,)
julia> gradien…
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hello,
I am training a new `contentvec` model in order to replace the framework's `hubert` model with the newly trained `contentvec`.
However, when I tried to run the model created by learning wit…
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Post questions here for:
Jurafsky, Daniel & James H. Martin. 2017 (3rd Edition). _Speech and Language Processing_. Singapore: Pearson Education, Inc.: Chapter 18 ([“Information Extraction”](htt…
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I wanted to know the idea behind the concept of having different `max_skip_values`, The value starts with 10, increases to 15 and again drops back to 5,5.
Is there any intuition and reason for doin…
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Hi,
I use your code to retrain the model, but I do not get the result in the paper. I just follow your instruction.
1) split
2) training the language model
3) python Adversarial_training.py --…
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Fine-tuning:
- 4 models are working on Ollama (3 tinyLlama verisons with 1, 10, 50 epoch)
- I was able to train an Llama2 model (1 epoch only)
- Llama.cpp depricated some functionality which made …