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# ## Q-learning
#
# This notebook will guide you throu... | week3_model_free/.ipynb_checkpoints/qlearning-checkpoint.ipynb |
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from torchtools.core import *
# from torchtools.... | index.ipynb |
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import numpy as np
# # MAPSI - TME - Rappels de Pro... | S1/MAPSI/TME/TME2/enonce/TME2DurandKordon.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
fro... | PCA.ipynb |
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# # Intro to Python
# ----
#
#
# ## Table of Contents... | notebooks/session_02-git_and_python_basics/04_pandas_data/introduction-to-python-data_analysis.ipynb |
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# # <font color='blue'>UNINOVE - Ciência d... | uninove/topico_10.ipynb |
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import numpy as np
import pandas as pd
import os
impor... | notebooks/table-linker-wikifier-pipeline.ipynb |
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import networkx as nx
from collections import defaultd... | misc/graph_edit_problem.ipynb |
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# + [markdown] id="pwLNyamAUw0m"
# # Pokemon
# + [mar... | 08_Creating_Series_and_DataFrames/Pokemon/Exercises[Solved].ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | Copy_of_Copy_of_LS_DS_121_Join_and_Reshape_Data_Assignment.ipynb |
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# # Node representation learning with Metapath2Vec
#
... | demos/embeddings/metapath2vec-embeddings.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | notebooks/Example_one.ipynb |
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# # Oversampling using SMOTE
# ## Import and read dat... | M6_Machine_Learning/M6_Machine_Learning_W2_Supervised_Learning_Ensemble_Techniques_Sampling_Techniques/smote.ipynb |
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# # Example: noisy identity process on two qub... | examples/2qubits-noisy-identity/run.ipynb |
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# TNE 1 Linear Regression for Ozone rate prediction
# ... | TNE1/TNE1.ipynb |
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from chesslab.agent_torch import agent
fro... | examples/versus/VS_random-Copy2.ipynb |
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# ## 2. KNN
# ### References:
# 1. https://github.com... | dog-breed-identification/3. KNN.ipynb |
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# + [markdown] id="D4mfB5aNV4iv" colab_type="text"
# # Data Processing and An... | Chapter 02 - Data Processing and Analysis/data_preprocessing_and_analysis.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="w_H_3i8P8eZA" outputId=... | tutorials/streamlit_notebooks/CLASSIFICATION_TR_SENTIMENT.ipynb |
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a = float(input('Enter a degree in Celsius: '))
b... | Firstday.ipynb |
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# + colab={"autoexec": {"startup": false, "wait_interv... | elabreport.ipynb |
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# # Example 06: How to use synthetic data to enable un... | notebooks/Example06-Synthetic_Data_and_Unsupervised_Learning.ipynb |
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# + [markdown] id="c9r3yAxdO9px" colab_type="text"
# <center>
# <a href="http... | char_rnns/notebooks/Dino_Names_Scratch.ipynb |
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# Copyright 2021 NVIDIA Corporation. A... | examples/multi-gpu-movielens/01-03-MultiGPU-Download-Convert-ETL-with-NVTabular-Training-with-PyTorch.ipynb |
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# ## Blob Detection
#
# https://www.learnopencv.com/bl... | 06 - countours extended/02 - Blob Detection.ipynb |
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# + [markdown] id="wKKzqdLzSSvb"
# In the 20×20 grid below, four numbers alon... | 11_Largest_Product_in_a_Grid.ipynb |
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# # !wget https://github.com/bamps53/convnext-tf/r... | pretrained/ign-convnext/convert-small-convnext-224-to-tf1.ipynb |
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import numpy as np
from numpy.random impor... | l8/Lecture 51 - Box and Violin Plots.ipynb |
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# %matplotlib inline
import matplotlib.pyplot as plt
... | Sistema masa resorte.ipynb |
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# ... | Sprint Challenge/LS_DS_Unit_4_Sprint_Challenge_3_v2.ipynb |
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#importing libraries
import pandas as pd
import numpy... | NewYork.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | startfile12.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
# %... | 04.Object Detection/02.edge detection.ipynb |
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import pandas as pd
from sklearn.base import BaseE... | 3_create_pipeline.ipynb |
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import astropy.units as u
import numpy as np
from ... | notebooks/proposal_versions/EMGW Vs Host Threshold Ellipticals.ipynb |
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# # 使用块的网络（VGG）
# :label:`sec_vgg`
#
# 虽然AlexNet证明深层神经网络卓有成效，但它没有提供一个通用的模板来指导后续的研究人员设计新的网络。
# 在下面的几个章节中，我们将介绍一些常用于... | tensorflow/chapter_convolutional-modern/vgg.ipynb |
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# # K-Nearest Neighbor (KNN)
# ---
# Algoritma k-Near... | 04 - KNN & Scikit-learn/Part 1 - K Nearest Neighbor Algorithm.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | DS29_GP_Unit2_Sprint1_Module1_Nivi.ipynb |
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# # Initial Exploratory Data Analysis
# #... | notebooks/03_eda.ipynb |
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# %load_ext autoreload
# %autoreload 2
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from torch... | notebooks/Torch_Cox_package_test.ipynb |
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# # Sistema de Ecuaciones Lineales
# ## Factorización ... | material/04_sistemas_ecuaciones/palu_cholesky.ipynb |
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import numpy as np
import matplotlib
import matplotlib... | Interacting.ipynb |
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import numpy as np
import random as random... | sum and gravity.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | BasisSets.ipynb |
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# Creating co-occurence network for visualization ... | topic_depth_network.ipynb |
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# # Generating animated time series for the crop-mask ... | pre-post_processing/animations_cropmask.ipynb |
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from copy import deepcopy
import numpy as np
import to... | spinup/algos/pytorch/lstm_ddpg/Untitled3.ipynb |
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# + [markdown] id="popV-5ukLucj"
# # Murales par arrondissement
# + [markdow... | Murales-1.0.ipynb |
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# # Assignment 1
# Create a bank acc class that has 2... | Day 6 - Assignment 1,2.ipynb |
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# + id="FseUhwIf_Yfg" colab={"base_uri": "https://localhost:8080/"} outputId=... | project_melanomia.ipynb |
# -*- coding: utf-8 -*-
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# Import needed libs
using... | Tutorials/HTRU2_julia_project/updated_log_reg.ipynb |
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# + [markdown] id="UU22Gz_V2S5T"
# # ***Hierarchial Clustering***
# + [markd... | 5_Clustering/Hierarchical_Clustering/hc_writeup.ipynb |
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import pandas as pd
pew = pd.read_csv('../data/pew.cs... | 02-lesson/04-tidy.ipynb |
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# <center><h1> Data for Visualization </center></h1>
... | Jupyter Notebooks/Visualisation Data.ipynb |
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#Write a Pandas program to join the two given datafram... | Pandas Joining and merging DataFrame.ipynb |
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# # Auto Accidents(1975-2017)
# ## Import cuxfilter
... | docs/source/examples/auto_accidents_example.ipynb |
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# ## Import des librairies ##
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# %matplotlib inlin... | notebooks/tp3_ANN.ipynb |
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# # Generative Adversarial Networks
#
# Generative adv... | notebooks/gan.ipynb |
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# + id="65aRJNe5mMKk" colab_type="code" outputId="33ac... | Project_3.ipynb |
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# # Naive Bayes Modeling
# This notebook will focus o... | notebooks/05-Skellet0r-naive-bayes.ipynb |
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import os
import pandas as pd
# %matplotlib inline
from nltk.s... | Starter_Code/crypto_sentiment.ipynb |
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# # Stellargraph Ensembles for node attribute inferenc... | demos/ensembles/ensemble-node-classification-example.ipynb |
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# # Analyzing Data from Multiple Files
# We now have ... | 03-fundamentals-of-python/04-processing-files.ipynb |
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import pandas
import numpy
recs = pandas.read_csv('./Project-2/data/recs2015_public_v4.csv')
recs['NGXBTU'] = recs['NGXBTU'].fillna(0)
r... | Project-2/c.ipynb |
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# + [markdown] colab_type="text" id="e4b1iEVqjUEn"
# #... | lectures/lecture1.ipynb |
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# + [markdown] editable=true
# # Part I. ETL Pipeline ... | 1. Data Modeling with Postgres and Apache Cassandra/Data Modeling with Apache Cassandra/Data_Modeling_With_Apache_Cassandra.ipynb |
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import pytesseract
import matplotlib.pyplot as plt
imp... | deprecated/OCR/ocr.ipynb |
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# # Uncommon operation with dataframes
#
# Cheat sheet... | _doc/notebooks/cheat_sheets/chsh_pandas.ipynb |
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# # **Not an ideal network... | assignment-2/Session2.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Aula01.ipynb |
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# Libs initializati... | Data/Filtering.ipynb |
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# <h1 style="color:blue">Pivot basics</h1>
import pan... | 8_Grouping and Aggregating/3_Pivot_table/pandas_pivot.ipynb |
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# +
# default_exp numpy
# -
# # 00_Numpy
#
# > Buildi... | 00_Numpy.ipynb |
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# # Amazon reviews : Sentiment analysis
# <h1>Table o... | Sentiment analysis with Logistic Regression.ipynb |
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import random
import pandas as pd
class M... | main-graphs.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# [View in Colaboratory]... | Digit_Recognition.ipynb |
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# %matplotlib inline
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# # Feature Engineering
# ## Textual Data
#
# ... | notebooks/Ch01 - Machine Learning Fundamentals/feature_engineering_text_data.ipynb |
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# + [markdown] id="wJ4LiB_So76e"
# # All
# + id="EGawA05dBnAA" executionInfo... | training/CellAttention_DistilBERT.ipynb |
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# # Modeling and Simulation in Python
#
# Chapter 4
#
... | code/chap04mine.ipynb |
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# # Handling Volume with Apache Spark
# Use Apache Sp... | volume/notebook/spark.ipynb |
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import pandas as pd
import numpy as np
import matp... | codes/A01_globalCasesAnalysis_run01.ipynb |
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import numpy as np
import pandas as pd
import tensor... | SimpleResNet_EXT_k-fold.ipynb |
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# # Справка
#
# API Cross Web осуществляет расчет данн... | crossweb/help.ipynb |
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# + id="IlOR1i1fc7SJ"
variable<- 'happy'
install.packages('ghql')
library(ghql)
library(ti... | colab/notebooks/happy-timetrend.ipynb |
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# %load_ext autoreload
# %autoreload 2
# %load_ext r... | examples/Example_Execution.ipynb |
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# # multiple Linear Regression (mLR) with scikit-learn... | ML5-Homework-H5_4c.ipynb |
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import gensim
import config as cfg
LOGS = False
if LOG... | toxic_language_mining/similarity_search_word_embedding.ipynb |
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# > **Note:** In most sessions you will be solving exe... | material/session_1/exercise_1.ipynb |
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import sklearn
import ... | .ipynb_checkpoints/crypto_compare-checkpoint.ipynb |
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import numpy as np
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impor... | session/sentiment/hierarchical.ipynb |
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# # Creating your own GAN III: LR-GAN
#
# In the last ... | notebooks/07_create-your-own-LR-GAN.ipynb |
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a = {'a':1,'b':2,'c':3}
if 'a' in a:
print("ye... | chapters/ttttttest.ipynb |
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# + [markdown] colab_type="text" id="TBFXQGKYUc4X"
# ##### Copyright 2019 The... | courses/udacity_intro_to_tensorflow_for_deep_learning/l05c02_dogs_vs_cats_with_augmentation.ipynb |
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# # Homework 3: Due March 22 11:00PM
# ## Link to ... | problem-sets/3_ps/3_ps.ipynb |
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# # Advanced, Common... | book/chapters/xaod_objects.ipynb |
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score = np.random.randint(40, 100, (10, 5))
score_df ... | deeplearningDemo/hello.ipynb |
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"""
Utility to fetch mu, sigma and proba
__author_... | _Templates/Utility.ipynb |
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# # SKLearn Spacy Reddit Text Classification Example
#... | examples/models/sklearn_spacy_text/sklearn_spacy_text_classifier_example.ipynb |