import sys sys.path.append("./work") In [3] import paddle import pickle as pk import numpy as np import matplotlib.pyplot as plt from model import LatentModulatedSiren # 这个就是我们的模型F_theta from utils import get_coordinate_grid %matplotlib inline /opt/conda/envs/python35-paddle120-...
fromsklearn.cross_validationimporttrain_test_split替换为importsklearn.model_selection就可以了。 但是如果有其他包依赖sklearn.cross_validation这个包就很麻烦了,比如我就遇到这种问题。 我需要的包是from sknn.mlpimportRegressor,Layer。但sknn.mlp会依赖这个sklearn.cross_validation。这时候就不是在自己代码里换调...
importimportlib.util spec=importlib.util.spec_from_file_location('whisper_to_coreml','models/convert-whisper-to-coreml.py') whisper_to_coreml=importlib.util.module_from_spec(spec) spec.loader.exec_module(whisper_to_coreml) fromwhisperimportload_model ...
This extension for StarUML(http://staruml.io) support to generate Django model code from UML model. Install this extension from Extension Manager of StarUML. Based on (https://github.com/niklauslee/staruml-python) - josemlp91/staruml-django
return self.vision_model(pixel_values) class SiglipVisionTransformer(nn.Module): def __init__(self, config: SiglipVisionConfig) -> None: super().__init__() self.config = config embed_dim = config.hidden_size # patch embedding: make the image into a sequence of patch_tokens ...
test = Test(train.getMLP(), data, k) test.classify() test.examples() test.plot_confusion_matrix() 开发者ID:quentinms,项目名称:PCML---Mini-Project,代码行数:17,代码来源:main.py 示例8: testSquaredError ▲点赞 1▼ # 需要导入模块: from data import Data [as 别名]# 或者: from data.Da...
Artificial Neural Network Model: MLP Soft Voting Classifier Ensemble Models: A combination of the best performing classifiers grouped using soft voting. V1: MLP, KNN V2: KNN, XGB, MLP V3: XGB, MLP, RF, LR V4: MLP, XGB Implement Baseline Classifiers on Intel Developer Cloud ...
import copy lora_model = copy.deepcopy(raw_model) # 深克隆,独立一个新模型 replace_linear_with_lora(lora_model, r=8, alpha=16) # 替换 print_trainable_parameters(lora_model) # 打印参数情况 print(lora_model) """ trainable params: 16,896 || all params: 54,744 || trainable%: 30.8637 ...
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step - LLMs-from-scratch/ch05/01_main-chapter-code/gpt_generate.py at 8c36399e7c914ed4da5d2fc5b35aa2217f891b0a · rasbt/LLMs-from-scratch
Import library: fromcommandline_configimportConfig Set the parameter name and initial value in JSON/Python Dict format, and add the parameter description by#comment. Currently supports nesting a dict inside another dict, andcan nest unlimited layers. ...