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# # Agente $\epsilon$-G... | Aprendizado por Reforço Clássico/Bandits/Agente Epsilon-Guloso/eps_greedy.ipynb |
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# ## Imports
import numpy as np
import pandas as pd ... | quantiles/MCI_quantiles_all_datasets-v100.ipynb |
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# # BFS
import sys
def bfs():
from queue import Q... | mani9793/Assignment_1.ipynb |
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import pandas as pd
import numpy as np
import matplotl... | notebooks/Plots.ipynb |
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# ## Introduction to ICESat-2 Surface Velocity Calcula... | notebooks/Introduction_Tutorial.ipynb |
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# # 微分可能LUTモデルによるMobileNetライクなMNIST学習
#
# Differentiab... | samples/python/mnist/MnistDifferentiableLutCnnMobileNet.ipynb |
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# # Merge Nodes
#
# One issue with SemmedDB (or the UM... | 1_build/02-Merge_nodes_via_ID_xrefs-(MeSH-DrugCentral-DO_Slim).ipynb |
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# + [markdown] application/vnd.databricks.v1+cell={"inputWidgets": {}, "nuid": "628e6c15-c92f-4817-a821-baf9ebb1dc66", "showTitle": false, "ti... | tutorials/Certification_Trainings/Public/databricks_notebooks/2.6/1.SparkNLP_Basics_v2.6.3.ipynb |
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import networkx as nx
import matplotlib.pyplot as plt
... | misc/short_bursts.ipynb |
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# + [markdown] origin_pos=0
# # Concise Implementation of Recurrent Neural Networks
# :label:`sec_rnn-concise`
#
# While :numref:`sec_rnn_scra... | python/d2l-en/tensorflow/chapter_recurrent-neural-networks/rnn-concise.ipynb |
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import pandas as pd
import numpy as np
URL = "http://... | Cargo 2000.ipynb |
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import xarray as xr
import sys
import matplotlib.pyplo... | src/notebooks/exp2.ipynb |
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import logging
import importlib
importlib.reload(l... | notebooks/results/PureClassification.ipynb |
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# # Finding a protein motif, from [Rosalind.info](http... | MPRT-Finding_a_protein_motif.ipynb |
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# + [markdown] colab_type="text" id="Tce3stUlHN0L"
# ##### Copyright 2019 The... | community/en/hyperparamter_search.ipynb |
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# # CSV Analysis Example
# This is a demo notebook sh... | notebooks/CSV Analysis Example.ipynb |
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import numpy as np
from matplotlib.pyplot import figur... | scratch.ipynb |
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# # Principal Component Analysis
# PCA is a dimension... | MLCourse/PCA.ipynb |
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# ### LightGBM + ADSTuner
# * added featur... | catboost-adstuner.ipynb |
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# # Intro to Hidden Markov Models (optional)
# ---
# #... | HMM warmup (optional).ipynb |
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using PyPlot
x = collect(0.0:1.0:100)
y = 2.0.... | deps/.ipynb_checkpoints/test-checkpoint.ipynb |
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# # Ejercicio Hundir La Flota | Challenge yourself
#
... | week3_course_python_III/day5_probability_statistics/exercise/Ejercicio_Hundir_Flota.ipynb |
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# # Step 3: Using your Graph
#
# In step 3 of this tut... | Tutorials/Step 3 - Using your Graph.ipynb |
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# # Percentile Calculation & Visualization
# ## Can y... | Notebooks/Percentile_Correlation_Quantiles/Percentile.ipynb |
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# default_exp parquet
# -
#hide
from nbdev.showdo... | 00_01_Parquet_Basics.ipynb |
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# + [markdown] slideshow={"slide_type": "s... | docs/notebooks/GrammarMiner.ipynb |
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# # Introduction
import pandas as pd
# One way to ob... | 00_introduction.ipynb |
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10*'t'
X = 'Silicon'
type(X)
X.upper()
X.capitaliz... | Python-Week 1/10 Aug 2021, Day 2.ipynb |
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import sys
import xarray as xr
import m... | notebooks/process_and_plot_siconc.ipynb |
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import pandas as pd
fro... | Starter_Code/regression_analysis.ipynb |
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# # Metodo Jerarquico
#
# Por: [<NAME>](https://joserz... | jupyter_notebook/4_no_supervisados/2_Metodo_Jerarquico.ipynb |
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# # Matrix Inverse
#
# In this exercise, you will writ... | 4_6_Matrices_and_Transformation_of_State/6_inverse_matrix.ipynb |
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# # Distance Metrics
# There are lots of ways to calc... | Phase_4/ds-clustering_kvo32-main/notebooks/unit_minkowski_circles.ipynb |
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# <p align="center">
# <img src="https://github.co... | SubsurfaceDataAnalytics_ConvolutionalNeuralNetworks.ipynb |
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# +
from vedo import *
embedWindow('ipyvtk')
s = Sp... | examples/notebooks/basic/sphere.ipynb |
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# + run_control={"frozen": true} deletable=false dc={"... | DataCampProjects/Introduction to DataCamp Projects/notebook.ipynb |
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# # Intro
# In this document I want to give an overvie... | JupyterHacks/.ipynb_checkpoints/Jupyter-Hacks-checkpoint.ipynb |
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# ## Random Forests
# +
from sklearn.ensemble import ... | Python/05 Scikit-learn/04.04 Random Forests - Exemplos.ipynb |
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# Update sklearn to p... | code/model_1.ipynb |
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# <center>
# <h1><b>Word Embedding Based Answer Evalua... | notebooks/WebAES-BERT-Evaluation.ipynb |
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"""
File : kdeCloneDiversityTumourSize... | Scripts for making figures/kdeCloneDiversityTumourSize.ipynb |
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# <img style="float: right; width: 350px" src="./Data/... | FinalNotebook.ipynb |
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# + [markdown] papermill={} tags=["awesome-notebooks/Y... | YouTube/YouTube_Extract_and_summarize_transcript.ipynb |
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# + id="farifxiKU1aB" papermill={"duration": 7.263776,... | additional_features/rnn-based/RNN/rnn_PF_TF.ipynb |
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# # matplotlibrcの場所
import matplotlib
matplotlib.matp... | tutorial/matplotlib_ja.ipynb |
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# ### TensorGraph Lay... | examples/notebooks/deepchem_tensorflow_eager.ipynb |
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# + [markdown] id="01yn_ljI1ISd"
# # **Interpreting Transformers Models**
#
#... | BERT_SQUAD_interpret.ipynb |
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# + [markdown] deletable=false editable=false nbgrader... | alc/.ipynb_checkpoints/ep7 (1)-checkpoint.ipynb |
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import argparse
import logging
import sys
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# + [markdown] deletable=false editable=false nbgrader... | Notebooks/Mesa_introduction-4.ipynb |
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# # Progressive Rollouts using Two Seldon Deployments
... | examples/iter8/progressive_rollout/separate_sdeps/abtest.ipynb |
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# # Name(s)
# ## <NAME>
#
... | Syllabus.ipynb |
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# # Source detection with Gammapy
#
# ## Context
#
# T... | docs/tutorials/detect.ipynb |
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import pandas as pd
import geopandas as gpd
import... | MSOA Mapping - Wales.ipynb |
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# **Copyright (c) 2020 <NAME>**
#
# **Copyright (c) 20... | solution/basics/02_ Variables and Data Types.ipynb |
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# <a href="https://colab... | BERT.ipynb |
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# # <NAME>
#
# In this notebook, I'll build a characte... | tensorboard/Anna_KaRNNa_Hyperparameters.ipynb |
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import pandas as pd
theses = pd.read_csv(... | src/department_cleanup.ipynb |
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# # CNTK 303: Deep Structured Semantic Modeling with L... | 7 - Natural Language Processing/Lab03 - CNTK_303_Deep_Structured_Semantic_Modeling_with_LSTM_Networks.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import axes3d
import probml_utils as pml
x11 = 5
x12 = 3
x21 = 7
x22 = 3
r = np.arange(2, 12, 2)
h = 0.1
M = 10
X1 = X2 = np.arange(0, M + h, h)
tree = np.zeros((len(X1), len(X2)))
L1 = X1 <= x11
R1 = X2 <= x21
L2 = X1 > x11
R2 = X2 <... | notebooks/book1/18/regtreeSurfaceDemo.ipynb |
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# # Overview
# The Course Overview will explain the co... | Overview.ipynb |
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# %load_ext load_style
# %load_style talk.css
# %matp... | notebooks/spharm.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | CertifiableBayesianInference/CNN_Experiments/analysis.ipynb |
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#this allows plots to be displayed inline with the not... | notebooks/.ipynb_checkpoints/SemiEmpirical-checkpoint.ipynb |
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# # COS-Dwarfs Updates (v1.1)
#
# Version History:
#
#... | docs/datasets/COS_Dwarfs_updates.ipynb |
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# # Seasonality in time series data
#
# Consider the p... | examples/notebooks/statespace_seasonal.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
#... | Types/NoneType_and_boolean.ipynb |
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// [this doc on github](https://github.c... | samples/notebooks/fsharp/Docs/Importing-packages.ipynb |
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# # **Algoritmos Não-Supervisionados e ... | semana_6/kmeans.ipynb |
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# + deletable=false editable=false
# Initialize Otter
... | test/test-assign/gs-correct/student/generate-gradescope.ipynb |
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# # Implementing a Neural Network
#
# **ATTENTION**: W... | two_layer_net.ipynb |
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# + [markdown] id="BW1qX94d-ot9"
# ## Hands-on Exercis... | Mod3_3-ML-USL-clustering-Hands-on-Exercise.ipynb |
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# # Microsoft App Store Data Sci Project
# ## Opening... | msft/msft.ipynb |
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# # Bokeh Inverted Triangle Glyph
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from bokeh.plot... | visualizations/bokeh/notebooks/glyphs/inverted_triangle.ipynb |
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from utils import hello_world, load_dataframes_fannie
... | notebooks/DataLoading-Quandl.ipynb |
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import pandas as pd
import numpy as np
from sklearn.mo... | Logistic Regession.ipynb |
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# # Notas a la realización de la práctica
... | practicas/p1/notas-p1.ipynb |
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def getBinaryNumTarge... | Notebook/Training Notebook Bitathon.ipynb |
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# ### Today's topics
# 1 - The DataFrame
#
# 2 - Index... | Pandas - Operations on Dataframes.ipynb |
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# # Name
#
# Deploying a trained model to Cloud Machin... | components/gcp/ml_engine/deploy/sample.ipynb |
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# This notebook was prepared by <NAME>. Source and lic... | staging/graphs_trees/binary_tree/binary_tree_solution.ipynb |
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# +
#IMPORT SEMUA LIBRARY DISINI
# -
#IMPORT LIBRARY ... | jupyter/CEIC/21. Sektor Asuransi/script/02. Statistik Asuransi Bukan Jiwa dan Reasuransi (RGB001-RGB040).ipynb |
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# ## Load modules
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push!(LOAD_PATH, "../dvi")... | src/parallel/ParSCA.ipynb |
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import numpy as np
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# !ls Applied-... | 16_Keras05.ipynb |
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# <h1><Center> Machine Learning with Spark</Center></h... | Machine Learning with Spark.ipynb |
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# + [markdown] origin_pos=0
# # 优化算法
# :label:`chap_optimization`
#
# 如果您在此之前按顺序阅读这本书，则已经使用了许多优化算法来训练深度学习模型。这些工具使我们能够继续更新模型参数并最大限度地减少损失函数的价值，正... | d2l/chapter_optimization/index.ipynb |
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from sklearn.metrics import accuracy_score, precisio... | Note_books/Explore_Models/.ipynb_checkpoints/model1_v3_concat_use_new_data-Copy1-checkpoint.ipynb |
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# # Spectrally-resolved Outgoing Longwave Radiation (O... | docs/source/courseware/Spectral_OLR_with_RRTMG.ipynb |
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import numpy as np
import pandas as pd
import matplotl... | DigitRecognizationProcess.ipynb |
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# ## Simpson's Rule
import numpy as np
import matplot... | SimpsonsRule.ipynb |
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# ### Simple housing version
# * State: $[w, n, M, e,... | 20201030/simpleHousing.ipynb |
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# # Lasso
# - シンプルな線形回帰ですが、非常に分かり易くて便利で... | 2_python_tutorial/3/3.Lasso.ipynb |
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import pandas as pd
import matplotlib.pyplot as pl... | test/.ipynb_checkpoints/Ames_nlp-checkpoint.ipynb |
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# # Portfolio Project: Berlin R... | ETL_Pipeline/yelp_api.ipynb |
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# # ML-NNet
#
# This is a test of the ML-NNet package ... | notebooks/Neural Network.ipynb |
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# <h1>2b. Machine Learning using tf.estimator </h1>
#
... | courses/machine_learning/deepdive/03_tensorflow/labs/b_estimator.ipynb |
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