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from utils import *
SPIDS = ['511285','800096','5... | Scrape ACM DL.ipynb |
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# # "Revisiting Brown patch dataset and benchmark"
# >... | _notebooks/2020-09-23-local-descriptors-validation.ipynb |
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# # CNN: 120C5-200C3-MP2-200N-10N
# DATA
from tensorf... | tensorflow/models/tf_cnn_120C5-200C3-MP2-100N-10N.ipynb |
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# + [markdown] azdata_cell_guid="0752ac77-f1c8-4c4d-8033-4debcbaa03b5"
... | about_pwsh.ipynb |
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# # About this Notebook
#
# Bayesian Probabilistic Mat... | toy-examples/Prediction-ST-BPMF-AR-Bdata.ipynb |
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import yt
ds = yt.load('IsolatedGalaxy/galaxy0030/gal... | doc/source/cookbook/custom_colorbar_tickmarks.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | LS_DS_132_Sampling_Confidence_Intervals_and_Hypothesis_Testing_Assignment.ipynb |
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# # Comparing TensorFlow (original) and PyTorc... | notebooks/Comparing-TF-and-PT-models-MLM-NSP.ipynb |
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sc
rdd = sc.parallelize([1,2,3,4,5,6,7,8,9,10,123,432... | apps/spark-sample.ipynb |
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# ## Calculating the Beta of a Stock
# *Suggested Ans... | 23 - Python for Finance/6_The Capital Asset Pricing Model/3_Calculating the Beta of a Stock (3:38)/Calculating the Beta of a Stock - Solution.ipynb |
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# + [markdown] id="x404tNDzbN1x"
# ## **SPAM CLASSIFIER USING NAIVE BAYES:**
... | SpamClassifierModel-NBayes/SPAM_CLASSIFIER_NLP.ipynb |
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import pandas as pd
import seaborn as sns
import matplotlib.pyplo... | chapter05/03_regression.ipynb |
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# %matplotlib inline
import warnings
import numpy... | Fitting distribution to Unknown data.ipynb |
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# # `abc` 抽象基类
#
# 鸭子类型
# : 一种编程... | doc/python-study/topics/abc.ipynb |
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import os
from pathlib import Path
import xarray as xr... | notebooks/ecmwf/data_preparation.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="wmFMIzQszygx" execution... | code/bilstm.ipynb |
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# Documentation de l'API : https://github.com/... | Gtrends/old/script_trends.ipynb |
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# %matplotlib inline
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# # Finding local maxima
#
# T... | digital-image-processing/notebooks/segmentation/plot_peak_local_max.ipynb |
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# -*- coding: utf-8 -*-
"""
Created on Tue Mar 3 ... | scripts/Rsmith/Halo_list_RS.ipynb |
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... | erlotinib_growth_analysis.ipynb |
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# # Progressive Growing GAN (PGGAN)
# In this notebook... | apphub/image_generation/pggan/pggan.ipynb |
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# # MidTerm Assignment: notebook 1: Revision
# # <NAM... | Midterm/Gaussian_distribution_Normal_Equ_TF_IDF/MD_Notebook1_Wajahat_submission.ipynb |
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import process_output
from PIL import Image, ImageEnhance, Imag... | .ipynb_checkpoints/prepare-image-checkpoint.ipynb |
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# # Vmap - write code for one sample point... | examples/jax/notebooks/Demos/vmap.ipynb |
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# # Imports
import numpy as np
import xarray as xr
im... | Fig.3.8_instability/Instability_plot.ipynb |
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import bs4 as bs
from urllib.request import urlopen as... | post nr til bydel.ipynb |
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# ## Word Vectorisation Notebook
# Below is the code u... | workbooks/word2vec.ipynb |
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import pandas as pd
imp... | brutus/sjekkBruId.ipynb |
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# # Handling hover and click map events
#
# [![open_in... | notebooks/08 - Eventhandling.ipynb |
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# # Now You Code 1: Number
#
# In this now you code we... | content/lessons/05/Now-You-Code/NYC1-Number.ipynb |
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# # freud.diffraction.DiffractionPattern
#
# The `freu... | module_intros/diffraction.DiffractionPattern.ipynb |
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# ## Suicide Overview
# Using Suicide Rate information... | ADS-Spring2019/Suicide.ipynb |
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# # Inivariate Multistep Vector Output Stacked LSTM ex... | TimeSeries/UnivariateMultistepStackedLSTMexample.ipynb |
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# + [markdown] papermill={"duration": 0.013463, "end_t... | Inference/inference-and-submission-29db6f.ipynb |
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# ### AI project "Fake ... | Fake_news_model.ipynb |
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# %matplotlib inline
#
# ============================... | lab03/svm/plot_svm_anova.ipynb |
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import signal
from contextlib import contextmanage... | jupyterlab/radio_scrapping/curl_with_python.ipynb |
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# ## Topics
#
# 1. Introduction
# 2. Analyzing an Int... | D-Data-Science-Interview-Preparation/2-Data-Analysis-Interview-Practice.ipynb |
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# + id="6wu6Icac_WQy" colab_type="code" colab={}
# # !pip install --upgrade t... | day5.ipynb |
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# <h1>
# Face Detection - Face Recognition:
# </h1>
# Not:
# ... | Face/face_recognition/Recognition/face_recognition_CNN(MMOD).ipynb |
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# # Setup
# +
# Python 3 compatability
from __future_... | plot_star_varpos.ipynb |
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# # PyHMx
#
# Demo of the alternative inte... | notebooks/pyhmx_demo.ipynb |
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import os
import json
from ast import literal_eval... | BeerDatasetReview.ipynb |
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# # 0.03 ... | 0.03_generate_anomalies_S2S.ipynb |
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# ## Libraries for preprocessing
# +
import pandas a... | nbs/One-Class-SVM.ipynb |
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# Cleanup
import boto3
sagemaker = boto3.c... | mt-cleanup.ipynb |
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# ![alt text](https://github.com/callysto/callysto-sam... | Python_Packages_Investigations/STATS_CAN_API/Findings_on_stats_can_library.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # M... | analyses/metabolon2keggMERGEnovogenenotebook.ipynb |
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import torch as tn... | intel_image_classification/tt_nn.ipynb |
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import torch
torch.cuda.empty_cache()
import... | RNNConsecutiveSentences.ipynb |
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# + raw_mimetype="text/restructuredtext" active=""
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# # Analysis of rat working-memory electrode data
# This notebook descr... | analysis/R/Rat ritalin one electrode.ipynb |
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# # Computing intersections with polygons
... | 1-tutorials/5-intersecting-with-polygons.ipynb |
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# # %load /home/biswadip/autoreload_jn.py
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# # Create a synthetic database
# ## Set options
# I... | scripts/notebooks/.ipynb_checkpoints/build_sin_database-checkpoint.ipynb |
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# The **slice operation** we saw with strings also wor... | basics/List Slices.ipynb |
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#
# T... | docs/filter/ButterworthFilter.ipynb |
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# #### SMILES input of a noncovalent isopentane--water compl... | Example_workflows/CSEARCH_CMIN_conformer_generation/CSEARCH_CREST_NCI_complex.ipynb |
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# + id="vfE1E92iuW2R" colab_type="code" colab={"base_uri": "https://localhost... | notebooks/BertService.ipynb |
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# ## Plot DETR log
import json
import torch
... | plot_logs_and_inference.ipynb |
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import tensorflow as tf
from t... | outreachy codelab.ipynb |
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# + id="hJg6tXyUoXNO"
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# + colab={"base_uri": "https:... | code-reference/jupyter-notebooks/testerData.ipynb |
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# # Decision Tree Classification
# **Importing Packag... | Decision Tree Classification.ipynb |
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from jcopdl.callback import s... | 16 - Recurrent Neural Network/Part 7 - Tuning Exercise.ipynb |
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# ## Plan for Dominant Del Assay plasmid pPS1
from IP... | notebooks/.old/.dominant_del_assay_oldest.ipynb |
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# # VERIFICATION TESTING
#
# # HER2 One Scanner - Aper... | HER2/1 Scanner Multi-Class/Verification Testing/VerificationTest_multiclassHER2_1scanner-Aperio_NIH.ipynb |
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# You will need the class Car for the next e... | PY0101EN-3.4_notebook_quizz_objects.ipynb |
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#
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# TensorFlow Quantum example, adapted from
# [*Ten... | examples/binary_classifier.ipynb |
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# # Loading the Data
import pandas as pd
import nump... | Titanic.ipynb |
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# name: python380jvsc74a57bd0b91eb80f53693f01d2f84f840e171702e80a... | ref_code/lgbm_view_comp.ipynb |
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# +
import os
os.environ['CUDA_VISIBLE_DEVICES'] = '1'... | test_input_pipeline.ipynb |
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import numpy as np
import pandas as pd
st = pd.read_c... | ejercicios-tareas-proyectos/proyectos-final/choosing-util/problem-selection.ipynb |
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# ### Grade: 8 / 8
# All API's: http://developer.nyti... | 05/NYT-API_graded.ipynb |
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# ## Bayesian Optimisation Verification
# +
i... | BO_trials/BO_all_temp.ipynb |
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# # Knet RNN example
# **TODO**: Use the new RNN i... | examples/DeepLearningFrameworks/Knet_RNN.ipynb |
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# + [markdown] application/vnd.databricks.v1+cell={"ti... | src/Twitter_Bot_Detector.ipynb |
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# # Gaussian Mixture Model
#
# Original NB by <NAME>, ... | docs/source/notebooks/gaussian_mixture_model.ipynb |
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# + active=""
# MIT License
#
# Copyright (c) 2019 <NA... | 3D Seismic Spectral Components Analysis/3D Seismic Data.ipynb |
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Using MiniBatch KMeans to handle more data
# +
import... | Chapter06/Using MiniBatch KMeans to handle more data.ipynb |
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# # Modelling Stickiness based on outputs of Diffusion... | notebooks/Stickiness Estimation.ipynb |
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# + [markdown] id="ZRA_SLfa0KTa"
# # Big Signal Analys... | notebooks/Big Signal Analysis of Reaction Networks.ipynb |
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import pandas as pd
import numpy as np
ur... | Class/PCA.ipynb |
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import pandas as pd
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using CSV
using Plots
usin... | Julia qga_qsa/QSA_multi.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | StockPrediction.ipynb |
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# # Object Oriented Programming Challenge - Solution
#... | 05-Object Oriented Programming/05-OOP Challenge - Solution.ipynb |
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import math
class vector:
def __i... | notebooks/Find the Torsional Angle.ipynb |
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# # Exploring Quantum Classification Library
# This n... | tutorials/QuantumClassification/ExploringQuantumClassificationLibrary.ipynb |
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# %cd ..
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try:
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ex... | notebooks/04_prepro_time_split.ipynb |
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# # Import Necessary Library
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from os import path
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# # Using multiple microphones to infer on-axis source... | paramsims/source-level-estim2.ipynb |
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# + colab={"base_uri": "https://localhost:8080/", "hei... | HIV_cleavage.ipynb |
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import os, sys
cur_path = os.path.abspath(os.path.... | ml/classify/roc-curve.ipynb |
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# # Plot model diagram
# ## Import modules
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impor... | analyses/2020-11-24-earth-movers-distance-diagram.ipynb |
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#
# Recursive ... | examples/notebooks/recursive_ls.ipynb |
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findspark.init()
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