code stringlengths 38 801k | repo_path stringlengths 6 263 |
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# # Day 04
import numpy as np
from aocd.models import... | 2021/Day-04.ipynb |
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# # Matplotlib Subplots
#
# The `plt.subplots()` funct... | subplots/plt.subplots.ipynb |
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# name: python383jvsc74a57bd003e80f00e8a0b9204e9c928296cca598eb1fee14ca0655e081f97bf8e045... | Lifestyle/.ipynb_checkpoints/moving_on_campus_v_where_you_are_from-checkpoint.ipynb |
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# Analytics Expression Language Example
# %matplotlib ... | examples/notebooks/analytics_execution_engine/analytics_expression_language_example.ipynb |
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# # Working with Components
#
# - [De... | openmdao/docs/openmdao_book/features/core_features/working_with_components/main.ipynb |
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# # Question 1
developer = ['python', 'LetsUpgrade', ... | Day-2 Python batch-7.ipynb |
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import pandas as pd
import matplotlib.pyplot as pl... | week_7_temporal_variogram.ipynb |
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# # **Bias-Variance Tradeoff**
# Source: ... | _development/projects/bias-variance/bias-variance.ipynb |
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# + [markdown] tags=["hide"]
# # Notebook Utils
#
# Th... | notebooks/utils/notebook_utils.ipynb |
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# ___
#
# <a href='http://www.pieriandata.com'> <img s... | res/Python-for-Data-Analysis/Pandas/Pandas Exercises/SF Salaries Exercise- Solutions.ipynb |
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# <a href="https://githubtocolab.com/giswqs/geemap/blo... | examples/notebooks/59_whitebox.ipynb |
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# # World Wide Products Inc.
# __Problem Statement__:... | notebooks/WorldWide Products Arima.ipynb |
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# # Transformer Network Application: Named-Entity Reco... | M5_Sequence_Models/Week4/codes/Transformer_application_Named_Entity_Recognition.ipynb |
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# + id="fJAD-U9MZp35" colab_type="code" outputId="faca1b0b-8c23-4a42-d0a4-766... | Part 2/InvestorClassifierPart2.ipynb |
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from rdkit import Chem
import pyaniasetools as pya... | notebooks/dihedral_test.ipynb |
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# <img src="http://imgur.com/1ZcRyrc.png" styl... | Deployment/.ipynb_checkpoints/chatbots-checkpoint.ipynb |
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# # Case Study
# For this case study, we will use the ... | module02/lessons/Lesson02_CaseStudy.ipynb |
# # Regularization of linear regression model
#
# In this notebook, we will see the limitations of linear regression models and
# the advantage of using regularized models instead.
#
# Besides, we will also present the preprocessing required when dealing
# with regularized models, furthermore when the regularization pa... | notebooks/linear_models_regularization.ipynb |
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# <a href="https://colab.research.go... | t81_558_class_11_03_embedding.ipynb |
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print('hello' in "hello world")
print('hel... | lec6.ipynb |
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# # Pandas Tutorial
import pandas as pd
... | jupyter/pandas-tut/29-Pandas_Tutorial.ipynb |
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# ## Using the DBSCAN algorithm to cluster localizatio... | jupyter_notebooks/dbscan_clustering.ipynb |
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import jax.numpy as jnp
from jax import random,grad
fr... | demo_KSD.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | lab13_cnn_pool.ipynb |
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#... | Rain_in_Australia/Rain_in_Australia_template.ipynb |
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# # Sympy
# +
import sympy as sp
# See: http... | nb_dev_python/python_sympy_calculus_en.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | explore_nbs/AWD_LSTM_small_patched_GPU_butch_colab.ipynb |
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# # Hessian-based toolbox for more reliabl... | Hessian-based_notebook.ipynb |
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# # Soft Computing
#
# ## Vežba 2 - OCR (Optical Chara... | v2-ocr/sc-siit-v2-ocr.ipynb |
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# %pylab inline
import pandas as pd
from scipy imp... | notebooks/Anton_full_stack.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
imp... | tests/test_eccentricity.ipynb |
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import numpy as np
import copy
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i... | 04.0_Penalty and clipping function.ipynb |
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import math
def hello(name):
print('Hello {0}... | HelloJupyter.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | FP_Growth_Impelementation.ipynb |
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# --... | figures/supfig_full_lsa_distribution.ipynb |
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# # Model project - Externalities and Pigou taxes
# O... | 1312/modelproject/Model-project.ipynb |
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# ## algorithm
fac = lambda i, *j: i and fac(*divmod(... | 100days/day 47 - factoradic.ipynb |
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# # Extract Precisions with tabular
# This notebook re... | docs/Notebooks/Extract-paper-precisions.ipynb |
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# # Candlestick S... | Python_Stock/Candlestick_Patterns/Candlestick_Shooting_Star.ipynb |
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# ## 1. Setup
# +
import matplotlib.pyplot as plt
imp... | 2018-2019/project/utils/merge_patches_and_save_all.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | sfml.ipynb |
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# # Ensemble Study
#
# In this notebook we study the f... | analysis/ensemble_study.ipynb |
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# ![36c5ba49dd8ef0a12c11681df3d77548.jpg](attachment:3... | Scipy-stats.ipynb |
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from mpl_toolkits.basemap import Basemap
import matplo... | pyfund/8 - Modulos Python para analise de dados/Untitled.ipynb |
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# + [markdown] id="Mm9l9wSh1dke" colab_type="text"
# <h1><center>Hyperparamet... | DataCamp Hyperparameter Optimization blog/Hyperparameter_optimization_in_machine_learning_models.ipynb |
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import os.path as op
import numpy as np
import matplot... | scripts/Figure1.ipynb |
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# # Targets with lo... | src/notebooks/datasets/how_eq_random_num_500_seed_0/accuracy/targets_low_accuracy.ipynb |
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# ## Import Libraries
import requests
import json
imp... | PythonApiClient/PythonApiClient.ipynb |
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# + [markdown] slideshow={"slide_type": "-"}
# # Cyber... | beginner-lessons/cyberinfrastructure/cyberinfrastructure-exploration.ipynb |
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# + [markdown] id="mUaJMUDUezt1" colab_type="text"
# # Self DCGAN Keras TPU
#... | implementations/dcgan/self_dcgan_keras_tpu.ipynb |
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# + [markdown] slideshow={"slide_type": "s... | notebooks/Classification quality metrics.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Decision_Tree.ipynb |
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# # Question 1
def functionOne(argsFun):
def... | Day 8 Assignment.ipynb |
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# # Precomptued Analysis
#
# Use precomputed optimal a... | docs/qaoa/Precomputed-Analysis.ipynb |
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# # Hello Node Kubernetes
#
# **Learning Objectives**
... | notebooks/docker_and_kubernetes/solutions/3_k8s_hello_node.ipynb |
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# # Asteroid detection
# <NAME>
# 19/02/2021
# The pu... | Asteroids.ipynb |
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# # Joins using pandas
# ## Introduction
# This Jupy... | joins_pandas.ipynb |
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# # Testinnsening av person skattemelding med næringsp... | docs/test/testinnsending/person-enk-med-vedlegg-2021.ipynb |
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# ## Subsetting ICESat-2 Data with the NSIDC Subsetter... | examples/ICESat-2_DAAC_DataAccess2_Subsetting.ipynb |
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import json
seeds = [0,2077,2434,314159,42]
d = {... | Movielens_Wasserstein/config/Neighbor_Attack/gnn_type_layers/gen_json.ipynb |
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# <div class="contentcontainer med left" style="margin-left: -50px;">
# <dl class="dl-horizontal">
# <dt>Title</dt> <dd> BoundsY str... | examples/reference/streams/bokeh/BoundsY.ipynb |
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# <h1>human organ classification </h1>
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# # Global Root-zone moisture Analysis & Forecasting S... | Datasets/Soil_Moisture.ipynb |
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# # 8.1 FGSM 공격
#
# 정상 이미지에 노이즈를 더해 머신러닝 모델을 헷갈리게 하는 이... | 08-Adversarial_Attack/fgsm_attack.ipynb |
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# # CNN Models
# The goal of this note book is to bui... | notebooks/.ipynb_checkpoints/(4) CNN Models-checkpoint.ipynb |
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import loader_helper
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# <a href='http://www.pieriandata.com'> <img s... | udemy_ml_bootcamp/Python-for-Data-Visualization/Matplotlib/Matplotlib Exercises - Solutions.ipynb |
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# ## Overview of the mapclassify API
#
# There are a n... | notebooks/06_api.ipynb |
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# # Quality control
# ## Goal
# Remove sequences and... | notebooks/quality_control.ipynb |
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# ### Question 1.
# Create a function to p... | assignments/PythonAdvanceProgramming/Python_Advance_Programming_3.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# # Managing flowsheets
# ### Retrieve any Unit, Stre... | docs/tutorial/Managing flowsheets.ipynb |
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# <a href="https://colab... | notebooks/Introduction_single_cell_RNA_seq.ipynb |
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# <h3> Домашнее ... | Forecasting-Methods/Adaptive Methods HW/Adaptive Methods HW.ipynb |
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# Rechneranwendungen in der Physik - Übung N.2 Taylore... | Approximation der Kosinusfunktion/Approximation der Kosinusfunktion.ipynb |
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# # Python Classes
class A:
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class Point: ... | notebooks/Python_classes.ipynb |
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# # Polynomial Linear regression
#
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# ## Keras for Jax, 2022-1-10
# - Basic numpy works for Keras w... | diffprog/jax_tf_dp/keras for jax.ipynb |
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# # Data Extraction Notebook for :Savings from a batte... | PV/Data-Extraction--PV-storage-savings-4CP.ipynb |
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# <div align='left' style="width:400px;height:120px;ov... | 04. Artificial neural networks.ipynb |
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# #topic 6 - plots using matplotlib and sea... | Statistics_All/1.Stats_EDA/3.Chart_types.ipynb |
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text_file = open("../results_msst20/numa_affects/p... | workloads/plotting/0_msst20_single-numa.ipynb |
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# #### Study notes for TorchVision
# This is the s... | torch-vision.ipynb |
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from io import BytesIO
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# ## Training Agents
# 1. Load required l... | PettingZoo/Multi Agent Deep Reinforcement Learning in 15 Lines of Code.ipynb |
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# # Task 3
# # Imports
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## Brute-force Approach (Time: O(n^2); Space: O(1)... | Anjani/Leetcode/Linked List/Intersection of Two Linked Lists.ipynb |
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# ### Test code for shifting images
#
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# Import Splinter and BeautifulSoup
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# Memprediksi jenis kelamin dari nama... | Gender Prediction.ipynb |