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import keras
## ARE YOU LOAD... | deepmath/deephol/train/A_Simple_G_T_2/.ipynb_checkpoints/transfer-checkpoint.ipynb |
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# + slideshow={"slide_type": "skip"}
import scipy.ndim... | augmentation/augmentation-cropping.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
imp... | Robotics/DijkstraGrid/DijkstraAlgorithm.ipynb |
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# # Tic-Tac-Toe
# @author: <NAME>
from IPython.displ... | Tic-Tac-Toe -(X-O)_Game_with_explanation_and_additional_steps.ipynb |
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# # SSH configuration
#
# To setup a ssh link with a... | _notebooks/2021-02-27-SSH-and-security.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="pg5wOeYibgrP" outputId=... | fewshot_with_hf.ipynb |
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from sklearn.metrics.pairwise import cosine_simila... | build_corpus.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | hah.ipynb |
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# # Preprocessing data for Optuna_AZ
#
# ... | notebooks/preprocess_data.ipynb |
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# + [markdown] id="rX8mhOLljYeM"
# ##### Copyright 2019 The TensorFlow Author... | Week1-Lesson1_House-Price.ipynb |
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import numpy as... | Starter_Code/time_series_analysis.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # Л... | sem9/main.ipynb |
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# + [markdown] id="djUvWu41mtXa" colab_type="text"
# ##### Copyright 2019 The... | docs/scalars_and_keras.ipynb |
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# # Update training data with manually drawn polygons
... | testing/western_cropmask/update_training_data.ipynb |
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import sys
if 'google.colab' in sys.modules:
i... | week09_policy_II/ppo.ipynb |
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# %pylab inline
from parcels import FieldSet, Field, P... | results/documentation/20.06_DrifterRelease/close_by_land.ipynb |
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import numpy as np
import skfuzzy as fuzzy
import matp... | FuzzyLogic/FuzzyLogic1.ipynb |
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# + pycharm={"is_executing": false}
import numpy as np... | src/nninst/backend/tensorflow/trace/plot_self_similarity.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"}
# # Evalua... | notebooks/Clustering Evaluation.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Chapter05/38_VGG_architecture.ipynb |
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import gym
import numpy as np
import torch
import rand... | DDPG.ipynb |
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# Next steps :
#
# - Could we try to setup a simpler ... | SingleTrialERP-Decoding.ipynb |
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# ## Guía 1. Astrometría. <NAME>
# ## Los problemas s... | Guia_1/Guia_1.ipynb |
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# + [markdown] colab_type="text" id="6bYaCABobL5q"
# ##### Copyright 2018 The... | site/en/guide/saved_model.ipynb |
# # Introductory example to ensemble models
#
# This first notebook aims at emphasizing the benefit of ensemble methods over
# simple models (e.g. decision tree, linear model, etc.). Combining simple
# models result in more powerful and robust models with less hassle.
#
# We will start by loading the california housing... | notebooks/ensemble_introduction.ipynb |
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from astropy.constants ... | notebooks/Goodman-Oh.ipynb |
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# <a href="https://colab... | LazyPredict.ipynb |
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# # DS106 Machine Learning : Lesson Three ... | Data Science and Machine Learning/Machine-Learning-In-Python-THOROUGH/RECAP_DS/05_MACHINE_LEARNING/MODELING/L03.ipynb |
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import tensorflow as tf
from keras.utils import np... | UTK/fgsm_eps.ipynb |
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# # Chapter 2: Getting Started
# [Source Text Book: Th... | code/Chapter_02_Getting_Started.ipynb |
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import numpy as np
import math
import pandas as pd
imp... | lab01/lab01_part02/lab01_02.ipynb |
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import tensorflow as tf
import matplotlib.pyplot as pl... | 03.MNIST with Tensorflow/.ipynb_checkpoints/01. Tensorflow MNIST Beginner-checkpoint.ipynb |
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# # Step 3: execute Cox Proportional Hazards model
#
# This notebook per... | 3_cox_proportional_hazards.ipynb |
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# # Qery Exploration
#
# This notebook shows example o... | notebooks/ExploreQueries.ipynb |
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# # Surface Wave Dispersion
#
# Using a cosine tran... | surfaceWaveDispersion/surfaceWaveDispersion.ipynb |
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# # Tutorial: Adding a new image-classification model
... | jupyter/tutorial__adding_new_model.ipynb |
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# **CHANGE LOG**
#
# 20 March 2018:
# - change one te... | CS5242_Assignment_2.ipynb |
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# ## test netcdf+
# This is a more extensive integrat... | examples/tests/test_netcdfplus.ipynb |
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# + [markdown] id="NikYfhCPH6Br"
# # VGG
# [Very Deep Convolutional Networks ... | 6-deep_convnet_vgg.ipynb |
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# # Assignment #2
# # 1. Random Variables (20 pts)
#
... | Assignments/HW2.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
#... | Course 1 - Custom Models, Layers and Loss Functions/Week 4 - Models/C1_W4_Lab_2_resnet-example.ipynb |
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import sys
sys.path.insert(0, '/home/jindal/notebooks/... | ablation_study/german-3CNN-BiLSTM-CRF-Use-generator.ipynb |
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# # The NumPy Library
#
# The [Numpy](https://numpy.or... | docs/source/Introduction/Numpy tutorial.ipynb |
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from src.image_filter import ImageFilter
from src.... | notebook/Pipeline.ipynb |
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# # Increasing the Maximum Message Size for gRPC
#
# ... | notebooks/max_grpc_msg_size.ipynb |
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import numpy as np
import pandas as pd
fro... | LogisticRegression.ipynb |
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;; name: python397jvsc74a57bd089a790bea3b9ca... | chapter09/chapter09.ipynb |
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# <img src="..\Week 01\img... | Week 02/R_06_Decision_Making.ipynb |
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# <a href="https://colab... | 2020/KrCERT_to_RSS.ipynb |
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# + [markdown] papermill={"duration": 0.030862, "en... | notebooks/01_Exploratory/output/1.5-rp-hcad-data-view-structural_elem1_20200913.ipynb |
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from numpy import *
from numpy.random import *
imp... | code/Plot_maxangle.ipynb |
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import os
import sys
from IPython.display import c... | ExampleNotebooks/.ipynb_checkpoints/Get CSV-checkpoint.ipynb |
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imp... | Parameter Tuning-DiffHSZ.ipynb |
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# <a href="https://colab... | Untitled8.ipynb |
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import string
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# ### Module 1: From Problem to Approac... | Data-Science-Methodology/Syllabus.ipynb |
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# <a href="https://colab... | Loop_Statement_.ipynb |
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# # Dictionaries
# ### 2) CREATING A DICT... | Module 3.ipynb |
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# # 3D classification examp... | 3d_classification/densenet_training_array.ipynb |
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... | Bit Manipulation/1222/1318. Minimum Flips to Make a OR b Equal to c.ipynb |
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# + _cell_guid="b1076dfc-b9ad-4769-8c92-a6c4dae69d19" ... | .ipynb_checkpoints/NSE Stocks-checkpoint.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | HCDR_Notebook.ipynb |
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# # Usando _monkey patch_ pra implementar `coalesce` p... | coalesce.ipynb |
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# # DALL-E in Pytorch
# Implementation / ... | dalle-tutorial.ipynb |
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# # Db2 11.5.4 RESTful Endpoint Python Class
# The fol... | RESTEndpoint/db2restendpoint.ipynb |
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from IPython.display import YouTubeVideo
f... | nl/2. The Resistance/The Resistance.ipynb |
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# ## The goals / steps of this project are the followi... | Pipeline progression/5_Curves ready for Frame1_Now we'll make classes to get ready for prior search.ipynb |
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# # SELFIES Examples
# + colab={"base_uri": "https://... | examples/selfies_examples.ipynb |
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# # Tutorial de Processamento Digital de Imagens com P... | notebooks/tutorial_pdi.ipynb |
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# # Layers in CNN
# ## Convolutional Layers
from ker... | Deep Learning/Convolutional Networks/Convolutional Neural Networks/layersKeras.ipynb |
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# # Install
#
# rayml is available for Python 3.8 with... | docs/source/install.ipynb |
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# ### Packages
import numpy as np
import pandas as pd... | 20 - Time Series Analysis in Python/13_Auto ARIMA/1_Auto ARIMA (4:44)/Section 13 - Auto ARIMA - Template.ipynb |
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import numpy as np
import os
import time
from vgg16 im... | Transfer-Learning-in-keras.ipynb |
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# + [markdown] colab_type="text" id="jYysdyb-CaWM"
# #... | extras/tutorial/simple_tutorial.ipynb |
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# # Introduction
#
# In this tutorial we create a simp... | examples/model_hosting/notebook/simple_scheduled_calculation/SimpleScheduledCalculation.ipynb |
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# #用管线命令处理多个步骤
# 管线命令不经常用，但是很有用。它们可以把多个步骤组合成一个对象执行。这样... | posts/using-pipelines-for-multiple-preprocessing-steps.ipynb |
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# ## Depth integrated volume of water... | VerticallyIntegratedQuantities/Idalia_upwelled_water_plot.ipynb |
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import sys
sys.path.append('D:/Python/Projecten/pypv/l... | pypv/notebooks/.ipynb_checkpoints/pv_solaredge-checkpoint.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# # 参数管理
#
# 在选择了架构并设置了超参数后，我们就进入了训练阶段。
# 此时，我们的目标是找到使损失函数最小化的模型参数值。
# 经过训练后，我们将需要使用这些参数来做出未来的预测。
# 此外，有时我们希望提取参数，... | pytorch/chapter_deep-learning-computation/parameters.ipynb |
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# + [markdown] id="MU0n8-HcYw4c"
# # Projec... | day12 - Hand-ins/06_day_PROJECT_-_Speeches_-_Word_Embeddings_and_Topic_Modelling.ipynb |
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import numpy as np
import pandas as pd
df = pd.read_csv("../... | Practice/PyTorch/NER_test/0703_define_ner_data.ipynb |
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# # Implementation of an autoencoder in TensorFlow
# -... | Autoencoder.ipynb |
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## Using sample from:
# * https://datascienceplus.... | l7-language/code/TryMarkovifyLangModel.ipynb |
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# %matplotlib inline
width = 6
height = 3
import ... | modern_time_series_analysis/ModernTimeSeriesAnalysis/DeepLearning/Electricity/5_Forecasting_electric_use_with_mxnet_STUDENT.ipynb |
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# # 4 - Sísmica de refração
#
# Na aula anterior ([3. ... | notebooks/4-sismica-refracao.ipynb |
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from pyomo.environ import *
model = ConcreteModel()
m... | pyomo_NLP.ipynb |
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# name: python3__SAGEMAKER_INTERNAL... | chapter09/01-smdp_tensorflow_sentiment_analysis.ipynb |
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# ## Calculations and plots for blog post
#
# ## 3... | notes/3080Ti-Compute/.ipynb_checkpoints/3080Ti-90-A100-checkpoint.ipynb |
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# # Use OSMnx to construct place boundaries and street n... | notebooks/05-example-save-load-networks-shapes.ipynb |
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# # Churn Clustering
import sys
sys.path.append("..")
fro... | exercises/churn_clustering.ipynb |
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# %load_ext watermark
# %watermark -v -p sklearn,numpy... | 67p_breastcancer.ipynb |
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# !pip3 install PyBullet
# # Lab
#
# The goal of this... | csci4302manipulation/lab4_collisionavoidance/pybullet.ipynb |
# -*- coding: utf-8 -*-
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