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# <!--NOTEBOOK_HEADER-->
# *This notebook contains mat... | notebooks/06.01-Side-Chain-Conformations-and-Dunbrack-Energies.ipynb |
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import pandas as pd
import numpy as np
im... | DTP.ipynb |
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import matplotl... | data_extra/prepare_data_3dhp.ipynb |
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# # LASP REU Tutorial Day 1 Instructions
#
# ## Write ... | lasp_reu_python_tutorial_day1_exercises.ipynb |
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# %load_ext autoreload
# %autoreload
# %matplotlib... | archive/texcrapy4 2019.ipynb |
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# + ... | legacy/assignments/local/2020/assignment2/ConvolutionalNetworks.ipynb |
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# # Study of Correlation Between Building Demolition a... | Final_Report.ipynb |
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import warnings
import itertools
import pandas as pd
i... | models/ARIMA.ipynb |
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# # Statistical treatment for PASTIS
#
# Essentially a... | Jupyter Notebooks/LUVOIR/15_Debug contrast floor.ipynb |
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# + id="Lym_glPd23n7"
# !nvidia-smi
# + id="61KeHP4iDHOc"
# %cd /content/
# ... | NLP_Paper_Judge_Sections.ipynb |
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# + id="xGfqtHThfPiE" colab_type="code" outputId="428bcf52-6bcf-4fac-85b6-7d4... | notebooks_GLUE/notebooks_roberta_jumbled_token_discrimination_lr_e-4_prob_0.3/rte.ipynb |
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# <a href="https://colab.research.google.com/github/ti... | tutorial_nbs/10_Time_Series_Classification_and_Regression_with_MiniRocket.ipynb |
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# name: python388jvsc74a57bd0862565ed761fef69c... | notebooks/NOAA_Sample.ipynb |
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# + id="54TDqPjGFCSw" colab_type="code" colab={}
# + id="jPTalRawFFMe" cola... | spam_ham_classfication.ipynb |
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x = 11
x & 1
2**4
8 >> 2
# x(x-1) = x with its lowe... | Chapter 4.ipynb |
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# + _uuid="8f2839f25d086af736a60e9eeb907d3b93b6e0e5" _cell_guid="b1076df... | iris/iris-dataset-classification.ipynb |
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# # Multi-Region IoT - Persist Data
#
# Per... | jupyter/10_Multi_Region_Data.ipynb |
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# # Automatic Differentiation with torch.autograd
# Wh... | part-ax-pytorch/06-autograd.ipynb |
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# ## ไฝๆฅญ
# ### ่ซๆ นๆไธๅ็ HOUSETYPE_MODE ๅฐ AMT_CREDIT ็นช่ฃฝ Hi... | Day_014_subplot.ipynb |
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import pysam
import pandas as pd
from tqdm.auto import... | examples/processing codes/.ipynb_checkpoints/Processing for Non-genes Brain Human II-checkpoint.ipynb |
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# #!/usr/bin/env python
# encoding: utf-8
"""
Peg... | Example_UR5_PegInHole/UR5PegInHole.ipynb |
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# ## Manifold Learning
# * https://jakevdp.github.io/... | theory/ManifoldLearning.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Copy_of_ALIFE_Stella_Chatbot.ipynb |
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# #... | Chapter07/Chapter7.ipynb |
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# <!--BOOK_INFORMATION-->
# <img align="left" style="p... | PythonDataScienceHandbook-master/notebooks/03.04-Missing-Values.ipynb |
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# # This example notebook shows how to create a source... | general/Create-Source-Catalog.ipynb |
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# 
# language: PowerShell
# name: .net-powershell
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# # T1016 - System Network Confi... | playbook/tactics/discovery/T1016.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | Copy_of_ch01_Introduction.ipynb |
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# # ENTRADA Y SALIDA DE DATOS
# ## 1. Entrada de Info... | MODULO 1/4. Entrada y Salida de Datos.ipynb |
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from fastai2.vision.all import *
path = untar_data(U... | book/Chapter5/Chapter5.ipynb |
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from airsenal.framework.utils import *... | notebooks/team_model_bpl_next.ipynb |
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... | texts/2.3.2.ipynb |
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# ### Topics
#
# - lists
# - indexing
# - slicing
# - ... | python/4_lists_tuples.ipynb |
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# # Goals
#
#
#
# ### Train a blood cell type clas... | study_roadmaps/4_image_classification_zoo/Blood Cell Type Classification_ Understanding the impact of depth in network.ipynb |
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# # Prelude
# %load_ext autoreload
# %autoreload 2
#... | profNBs/0000_ETCBC-TF_BHS_0004_Jer01_o.glanz_prof-edition.ipynb |
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import os as os
import numpy as np
import pandas as pd... | KO_MAG_t-test.ipynb |
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# ## ็ฌฌไน็ซ ๅนป็ฏ็ๅถไฝ
#
# ### ๅฏผ่จ
#
# 2003ๅนด๏ผๆๆๅทฅไธๅคงๅญฆ... | chapter-9/section0.ipynb |
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# # Realtime VAD
#
# Let say you want to cut your real... | example/realtime-vad/realtime-vad.ipynb |
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# + [markdown] id="85sNl1ailHU2"
# # Prรกct... | homework_09_epidemics/public_homework_09_epidemics.ipynb |
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# # Gradient Checking
#
# Welcome to the final assignm... | Hyperparameter Tuning/Gradient+Checking+v1.ipynb |
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import os
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import numpy as np
im... | Code/Visualization Dashboard/Python_EDA_sentiment_confidence_score.ipynb |
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# + [markdown] colab_type="text" id="rNdWfPXCjTjY"
# #... | courses/machine_learning/deepdive2/launching_into_ml/labs/improve_data_quality.ipynb |
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#... | tutorials/W1D4_GeneralizedLinearModels/W1D4_Outro.ipynb |
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# ## Running a Regression in Python
# *Suggested Answ... | 23 - Python for Finance/4_Using Regressions for Financial Analysis/2_Running a Regression in Python (6:35)/Running a Regression in Python - Exercise.ipynb |
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# paddleๆจกๅผ่ฏๆงๅไธๅ็ฑปๅซๆ ็ญพ้ๅๅฆไธ่กจ๏ผๅ
ถไธญ่ฏๆงๆ ็ญพ 24 ไธช๏ผๅฐๅๅญๆฏ๏ผ๏ผไธๅ็ฑปๅซๆ ็ญพ 4 ไธช๏ผ... | others/get_attribute.ipynb |
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# Author : <NAME>
# github link : https://github.c... | knn.ipynb |
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from __future__ import print_function
from matplotlib ... | CNN-LSTM-model/models/25-joint-data/Model_Preparation_FrameWise.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | train github.com ktr-hubrt WSAL.ipynb |
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import numpy as np
import torch
import os
import p... | train/train_SegUNet.ipynb |
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# # MULTIPLY SAR Data Access and Pre-Processing
# The... | notebooks/MULTIPLY_SAR_Data_Access_and_Pre-Processing.ipynb |
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# # Week 11, Part 2
#
# ### Topic
# 1. Fitting Hubble's law using Linea... | week11/prep_hubblesExample_part2.ipynb |
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# I used `pygetpapers` to download all the suplimentar... | tps_data_availability/data_formats_tps.ipynb |
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# # Using Remix's Partridge with SFMTA GTFS data
impo... | GTFS/partridge.ipynb |
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# <!--BOOK_INFORMATION-->
# <img align="left" style="p... | Course/08-Defining-Functions.ipynb |
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# ## First Assignment
# #### 1) Apply the appropriate... | Assignments/Assignment_1.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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import sys
sys.path.append("../")
import random
from a... | investigation_notebooks/model_free_test.ipynb |
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# # FFTW plans
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im... | lab/ Ansolebehere .ipynb |
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# + [markdown] id="UiNxsd4_q9wq" colab_type="text"
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# ## Data Types
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# _You are currently looking at **vers... | 3_machine_learning/week_2/classifier_visualization.ipynb |
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# <!--NAVIGATION-->
# < [ๅจๆถ้ดๅบๅไธๆไฝ](03.11-Working-with-... | Python-Data-Science-Handbook/notebooks/03.12-Performance-Eval-and-Query.ipynb |
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min_src_nsents = float("inf")
max_src_nsents = 0
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# ## Else if, for Brief - ELIF
# Assign 200 to x.
# C... | Python basics practice/Python 3 (12)/Else If, for Brief - Elif - Exercise_Py3.ipynb |
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import matplotlib.pyplot as plt
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# This cell is added by sphinx-gallery
# !pip inst... | docs/notebooks/examples/2D_simulation(crystalline)/plot_6_PASS_itraconazole_drug.ipynb |
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imp... | code/Ramtin/create_id_jsons.ipynb |
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# # REINFORCE in pytorch
#
# Just like we did before f... | week11_rl/reinforce_pytorch.ipynb |
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# # Rigid Body Dynamics and Simulation
#
# Finally, le... | old/drake_examples/drake_rigid_body_simulation_tutorial.ipynb |
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from scripts.load_script import *
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# <a href="https://www.bigdatauniversity.com"><img src... | content/docs/data-science-with-python/labs/deep-learning-with-tensorflow/3-1-LSTM-basics.ipynb |
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import pickle
import importlib
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# <a href="https://mybinder.org/v2/gh/HuygensING/hyper-collate/master?filepath=hyper-collate-jupyter%2Fhyper-collate-readme.ipynb" target="_blank"><img src="https://mybinder.org/badge_logo.svg"/></a>
# # Using HyperCollate in Kotlin Notebooks:
#
# ## Dependencies
#
# To be able to use HyperCollate, use the following `... | notebooks/hyper-collate-readme.ipynb |
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# # Module 2 (Python 3)
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# + [markdown] id="BHHvad7hr2q8"
# ### Mounting Googel Drive
# + colab={"bas... | Karan_Bali_File2_Other_methods.ipynb |
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class Stack:
def __init__(self):
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