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**Description:**
We aim to enhance the accuracy of the AI assistant by upgrading the models used for voice activity detection (VAD) and other key tasks. Specifically, updating to the latest versions …
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### 🐛 Describe the bug
Category | Model | Accuracy
-- | -- | --
timm_models_amp_bf16_training | botnet26t_256 | fail_accuracy
timm_models_amp_fp16_training | botnet26t_…
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Experiment and Implement classification models -
1. Decision Tree
2. Random Forest
3. Logistic Regression
4. Naive Bayes models.
Evaluate and compare models on metrics (accuracy, precision, …
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### The quantization format
Hi all,
We have recently designed and open-sourced a new method for Vector Quantization called Vector Post-Training Quantization (VPTQ). Our work is available at [VPTQ…
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**Describe the bug**
I tried to optimize BERT model with bert_ptq_cpu.json but it gave 7 output models.
It there any ways or change the config to get only one output model?
```
[2024-10-25 10:54:59,1…
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Hi all,
We've recently open-sourced a new quantization method. VPTQ (Vector Post-Training Quantization) is a novel Post-Training Quantization method that leverages Vector Quantization to achieve hi…
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I tried decision tree, logistic regression and random forest models. Accuracy is too high but I think it doesn't show the truth. I'm not quite sure but It could be from quality of dataset.
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# URL
- https://arxiv.org/abs/2404.01869
# Authors
- Philipp Mondorf
- Barbara Plank
# Abstract
- Large language models (LLMs) have recently shown impressive performance on tasks involving reaso…
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The main purpose of this project is to identify capcha digits from 1-9 even when they're noisy and defected from the dataset Link :- https://www.kaggle.com/datasets/kadenm/noisy-digitbased-captcha-ima…
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import streamlit as st
import pandas as pd
import numpy as np
import pennylane as qml
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LogisticRegression
fro…