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# ### Exercise 05 : Building DCGAN for MNIST
# Import... | 7,311 |
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# # Introducción
#
# Para este proyecto, interpreté da... | 19,177 |
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# # Average wage in Russia
# +
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# ### 8.1.1 排行榜系统的出现
#
# #### 一. 为什么推荐系统中会出现排行榜
# 1. 可... | 2,059 |
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# ## [2.4 可变数据](http://www-inst.eecs.berkeley.edu/~cs6... | 19,959 |
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# **This is the hw NOTES for section *04_00 Python F... | 2,517 |
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# <table ><tr><td valign='... | 21,708 |
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# # 3. Logistic regression
# %matplotlib inline
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# + id="jb1MXhgZwrL_"
import numpy as np
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# ## Задача 3-2 (лекция "Введение в типы данных и цикл... | 890 |
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# # TASK 1 - Predicting percentage of a student base... | 11,570 |
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from scipy import stats as stats
import scipy
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"""
Author: Bryan Bo Cao
Email: boca7588@colorado.edu ... | 1,392 |
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#Import file to python
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# **README**: Information about notebook
#
# This is a... | 8,865 |
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import tensorflow as tf
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import pandas as pd
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# ## Assignment 2
#
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import numpy as np
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from python_utils import *
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# %matplotlib notebook
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# %load_ext autoreload
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import numpy as np
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/METALLIC GLASS FORMING DATA(DA).ipynb | 0f50d83d69ef141cf8834c53b42bbf67e47a93bd | [] | no_license | rajrishi1997/Modeling-the-reduced-glass-transition-temperature-of-glass-forming-alloys- | https://github.com/rajrishi1997/Modeling-the-reduced-glass-transition-temperature-of-glass-forming-alloys- | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .r | 858,246 | # ---
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# # DISTRIBUTIONAL ANALYSIS REPORT
# Name-Rajrishi Sarkar,Roll-20311006... | 12,920 |
/Logistic Regression All/.ipynb_checkpoints/FeaturesReduced-checkpoint.ipynb | c6431d353d08254601ace8c88a85ef06c15e4b3f | [] | no_license | elcronos/ILI-MachineLearningResearch | https://github.com/elcronos/ILI-MachineLearningResearch | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 6,689 | # ---
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# # Plotly and Cufflinks
# Plotly is a library that a... | 9,028 |
/notebooks/GlobalModel01.ipynb | 1fa17a7d84a8996c3bcdb8786cffb5014eaaddc0 | [] | no_license | mtmoncur/baseball_data | https://github.com/mtmoncur/baseball_data | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 1,936,362 | # ---
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# ### Import libraries and datasets
# +
import pandas... | 15,375 |
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# # Lhotse Shar
#
# ## Storage format opti... | 14,406 |
/Project_03.ipynb | 285272b3c4506d8d5fea4516408c682fa832704b | [] | no_license | rjnuttall/GA_project_03 | https://github.com/rjnuttall/GA_project_03 | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 2,733,503 | # ---
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# Yeni başlayanlar için Python programlama temellerini... | 20,470 |
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# _You are currently looking at **version 1.1*... | 22,519 |
/cours/2020/ing2/bigdata/lesson7 Graphics/11 -- Static graphics with Seaborn.ipynb | fb0acd12d62d9d3d5fb839655dd465ddda6f4c3d | [] | no_license | kariulele/epita-image | https://github.com/kariulele/epita-image | 3 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 4,383,045 | # ---
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# # Seaborn
#
# [Seaborn](https://stanford.edu/~mwasko... | 12,347 |
/Desicion_Tree_Random_Forest.ipynb | 047754d3bc42581a2a983d17f2d168638a7600b1 | [] | no_license | javanese-programmer/basic-machine-learning-b7 | https://github.com/javanese-programmer/basic-machine-learning-b7 | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 86,791 | # ---
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/HW1/hw1_code_and_report.ipynb | b2a2fc9d7ea04f3d6eae506f0672e0ada97886d9 | [] | no_license | TohaRhymes/immunogenomics_ib_autumn2020 | https://github.com/TohaRhymes/immunogenomics_ib_autumn2020 | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 265,527 | # ---
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# ## Домашнее задание по иммуногеномике. __Basic analy... | 6,794 |
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warnings.filterwarnings('ignore')
imp... | 20,842 |
/Sample_Skeleton.ipynb | 1005bee9003d38567ca698a76ebe41e3ae25490a | [] | no_license | Shivan118/Churn-Prediction | https://github.com/Shivan118/Churn-Prediction | 1 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 6,436 | # ---
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#Imports
import os
import h5py
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/labs/module_2/Matplotlib-Seaborn/main.ipynb | 75d940c58541fd94f64b7a095519ef5c6f5005e0 | [] | no_license | paoloironhack/dataptams2020 | https://github.com/paoloironhack/dataptams2020 | 2 | 3 | null | null | null | null | Jupyter Notebook | false | false | .py | 18,163 | # ---
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# # Lab | Matplotlib ... | 9,464 |
/Donde estan los ojos.ipynb | e9fe29fe85ce50e24feca5b9b5b098e86e47011e | [] | no_license | gsarmientod/MLP_OJOS | https://github.com/gsarmientod/MLP_OJOS | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 3,380,275 | # ---
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# # Regresión I: ¿Donde estan los ojos?
# ... | 22,506 |
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/Chapter4_3_J.ipynb | fbed6ff28bc7c853045dd191a19196f75d9708e6 | [] | no_license | minzwon/ISMIR-2017 | https://github.com/minzwon/ISMIR-2017 | 1 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 1,737,623 | # ---
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# # Lab 12: Gaussian Mixture Models (GMMs)
#
# In lect... | 36,753 |
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/Deep Learning/CNN.ipynb | f43b47f9ed650c0dafcdce06b625b9f2b1154e23 | [] | no_license | devangm2000/Machine-Learning | https://github.com/devangm2000/Machine-Learning | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 22,441 | # ---
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# ## Sentence/Word Embeddings Ectraction for... | 11,317 |
/homework/Day_002_HW.ipynb | 43f90dffef7b72ae949129313153ca7b27af31c9 | [] | no_license | karen550168/3rd-ML100Days | https://github.com/karen550168/3rd-ML100Days | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 1,003 | # ---
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/CVEDataView.ipynb | b92a55915a7d3bedb370612779b92ea9a8b53cfc | [] | no_license | phamvanvung/cvssexploration | https://github.com/phamvanvung/cvssexploration | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 4,748,231 | # ---
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# # Project 5: Group Project
# #### Author: Adam Pardo... | 9,476 |
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# # Summary:
# Jay Woo and Casey Alvarado are working ... | 4,352 |
/9_RF_GBDT.ipynb | b9f1b3348ea3740e901eb9b8bb26b3533e407284 | [] | no_license | chetanmedipally/donorsChoose | https://github.com/chetanmedipally/donorsChoose | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 4,122,346 | # ---
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# ### Load Necessary Libraries
import matplotlib.pypl... | 82,129 |
/MachineLearning/NaiveBayes/NaiveBayes.ipynb | a5ea42d6cba6fca2da8a2ac1116e6d34cd46e021 | [] | no_license | ravi4all/ML_RegJune_3_30_2019 | https://github.com/ravi4all/ML_RegJune_3_30_2019 | 0 | 3 | null | null | null | null | Jupyter Notebook | false | false | .py | 10,722 | # ---
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import numpy as np
import pandas as pd
data = {
"... | 1,786 |
/MNIST_GAN_example_for_michael.ipynb | 9342edc0da7deb4a73a85a14193776ec5c1d2616 | [] | no_license | FinchMF/example_for_michael | https://github.com/FinchMF/example_for_michael | 0 | 1 | null | null | null | null | Jupyter Notebook | false | false | .py | 226,345 | # ---
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# ## Segmenting and Clustering Neighborhoods in Toro... | 48,711 |
/exercise 6 databases.ipynb | 7be29790e155e10ed872f776873e464e5a838be0 | [] | no_license | EleniPa/ouy_advanced_programming | https://github.com/EleniPa/ouy_advanced_programming | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 3,672 | # ---
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import pymongo
import json
people = open("People.json... | 1,222 |
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# # Generate Performance Plot
# ## Import Packages
#... | 2,567 |
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/PyImageJ/.ipynb_checkpoints/Rigid registration with pyimagej-checkpoint.ipynb | 150593cefb379f5541a85fef40e134f8b3e5bae3 | [] | no_license | CMollier/Notebooks | https://github.com/CMollier/Notebooks | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 114,943 | # ---
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# # Running a plugin that uses ImageJ1 windows
# Runni... | 2,966 |
/LOAN PREDICTION.ipynb | 485f0b390dbcc12272813332250a5fef7961c252 | [] | no_license | Nilanjan2022/Loan-Prediction | https://github.com/Nilanjan2022/Loan-Prediction | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 442,656 | # ---
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/PYTHON300_2.ipynb | 94911a0f1ec5b88658eb7e3b4f157c997c58b808 | [] | no_license | 4070E017/PYTHONPRATICE | https://github.com/4070E017/PYTHONPRATICE | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 1,462 | # ---
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import numpy as np
from configpars... | 12,037 |
/25_Feb_practical_2.ipynb | 0021c32f118d6d2d690ad4167cc2f5d5b2a73455 | [] | no_license | asel-datascience/ODS2020 | https://github.com/asel-datascience/ODS2020 | 6 | 8 | null | 2020-01-28T02:39:06 | 2020-01-28T02:27:18 | Jupyter Notebook | Jupyter Notebook | false | false | .py | 96,082 | # ---
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/2 - Gene Expression Classification.ipynb | 4d6f2cc9ba5800b1be03020cf0288c486459c70b | [
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# # Gene Expression Monitoring Analysis
# ## Data Pre... | 18,052 |
/notebooks/09-investigate-ground-truths.ipynb | fadf6120d9b5b8d5ebde4a27674b96f74e468528 | [] | no_license | KeithWM/dstl_kaggle | https://github.com/KeithWM/dstl_kaggle | 1 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 7,940 | # ---
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# This notebook plots ground truth bounding boxes impo... | 7,515 |
/c5-Sequence_Models/week2/Emojify+-+v2.ipynb | c4b62dd692fb354333fbaee3154d95d1515df7a3 | [] | no_license | sniggel/coursera-deeplearning.ai | https://github.com/sniggel/coursera-deeplearning.ai | 0 | 1 | null | null | null | null | Jupyter Notebook | false | false | .py | 69,280 | # ---
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# **License**
#
# stats_dist_rosenb... | 33,577 |
/Pyber/.ipynb_checkpoints/Pyber Notebook-checkpoint.ipynb | 900722219193bed649c79f3b0c8bcb46483f7979 | [] | no_license | jsubbie/ride_share_exercise | https://github.com/jsubbie/ride_share_exercise | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 137,696 | # ---
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 6,690 |
/notebooks/vasis/04_design.ipynb | 4ee77609680960fc23bb63f83ea3efee86b31448 | [] | no_license | hrbolek/learning | https://github.com/hrbolek/learning | 12 | 21 | null | 2022-09-12T11:39:48 | 2022-05-24T08:55:54 | Jupyter Notebook | Jupyter Notebook | false | false | .py | 10,880 | # ---
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# # Návrh / vzory
# ## Úvod
# Definovat pravidla, kt... | 6,984 |
/python-basic/.ipynb_checkpoints/static web crawling-checkpoint.ipynb | 50361d81a11e460bdb6e77bd17c93c85d20b7acd | [] | no_license | honux77/lectures | https://github.com/honux77/lectures | 1 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 2,924 | # ---
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# # 웹 크롤링
import requests
result = requests.get('htt... | 777 |
/Dimension Reduction.ipynb | aad975ee4480a1f20649bb31023c6c8b35443af4 | [] | no_license | clesleycode/machine-learning-series-python | https://github.com/clesleycode/machine-learning-series-python | 1 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 1,312 | # ---
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# %matplotlib inline
#
# ============================... | 1,437 |
/sqs/.ipynb_checkpoints/SQS-checkpoint.ipynb | 6030e89300b001165a7f72e936392051a5d9dd80 | [] | no_license | arunmastermind/AWS-examples-using-BOTO3 | https://github.com/arunmastermind/AWS-examples-using-BOTO3 | 0 | 2 | null | null | null | null | Jupyter Notebook | false | false | .py | 7,501 | # ---
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import sys
import subprocess
import optparse
import th... | 6,247 |
/analysis/r_nba-Bayes_1_Model.ipynb | ab75e27e6deb3e07f1212cd976b4ea3ef8c1d51e | [] | no_license | blin17/reddit_nba_predictor | https://github.com/blin17/reddit_nba_predictor | 1 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 92,844 | # ---
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'''
Analysis of /r/nba Posts
@author: Brian... | 8,965 |
/dog_app.ipynb | bdfcbe4f42d8047e665f4d186d2e93457f6cfc17 | [] | no_license | AishaHakami/CNN-Project-Dog-Breed-Classifier | https://github.com/AishaHakami/CNN-Project-Dog-Breed-Classifier | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 4,824,132 | # ---
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# # Jugador aleatorio con _Football_
# Ejemplo de juga... | 7,975 |
/07_clustering_pca/07_pca_solved.ipynb | ab20c7f984ba799980c6530d7a0fded816194d44 | [] | no_license | makhalanobis/machine-learning-with-love | https://github.com/makhalanobis/machine-learning-with-love | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 1,563,072 | # ---
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# + [markdown] slideshow={"slide_type": "slide"}
# # В... | 41,013 |
/benchmark_fitting_methods.ipynb | 8a25bcd8cb091cbc237b75cb397db78417da2b63 | [] | no_license | yxlinaqua/saboca_project | https://github.com/yxlinaqua/saboca_project | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 1,133,792 | # ---
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# + colab={} colab_type="code" id="2XyEWy6KZkV4"
impor... | 10,860 |
/ETL_Code/ETL_Codev3.ipynb | 62891982c2f77cbeb6ee9f97e23e61304e1d4740 | [] | no_license | DeniseMcK9210/Equity-In-Hollywood | https://github.com/DeniseMcK9210/Equity-In-Hollywood | 0 | 3 | null | 2019-10-16T01:04:56 | 2019-10-16T01:04:27 | Jupyter Notebook | Jupyter Notebook | false | false | .py | 142,181 | # ---
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# import dependencies
import pandas as pd
from sq... | 7,804 |
/E14 InmulSajin(김영범).ipynb | 4caf0011faefb67b316f952298b13d096e0d950d | [] | no_license | Eddy-Kim-Age/Aiffel_Code | https://github.com/Eddy-Kim-Age/Aiffel_Code | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 623,660 | # ---
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# + [markdown] id="Alneqmq-lKIo"
# # Unit 27. 파일
# + colab={"base_uri": "htt... | 4,844 |
/Analytics/Analytics.ipynb | 18be88b6750e7bfa8b948ea935217166824b0e45 | [] | no_license | takuge/RealEstate | https://github.com/takuge/RealEstate | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 775,320 | # ---
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# <a href="https://colab... | 67,723 |
/notebooks/2_Clasificacion_de_texto_transformadores_multiclase.ipynb | d45239306d34645e625e02614880edb092883878 | [
"MIT"
] | permissive | cogitovsmachina/riiaa_2020_TNLP | https://github.com/cogitovsmachina/riiaa_2020_TNLP | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 72,573 | # ---
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# + papermill={"duration": 8.331994, "end_time": "2020... | 33,210 |
/4.RNN/12_SMS_Spam_RNN_100단어.ipynb | a50fb63595afeb9141179eaf373c2477fa733357 | [] | no_license | leele91/Deep-Learning | https://github.com/leele91/Deep-Learning | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 49,240 | # ---
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# # Part 1 - Remember*
import numpy as np
import ten... | 12,068 |
/notebooks/tdh512194/genres-and-influencers.ipynb | a5a87c3ecb5640fdae2de11663ff498d2fb9c4eb | [] | no_license | Sayem-Mohammad-Imtiaz/kaggle-notebooks | https://github.com/Sayem-Mohammad-Imtiaz/kaggle-notebooks | 5 | 6 | null | null | null | null | Jupyter Notebook | false | false | .py | 38,666 | # ---
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# + _cell_guid="e5bed034-2821-4c6d-a243-acf82c64aba3" ... | 28,463 |
/7 kyu/7kyu_Especially Joyful Numbers.ipynb | 14b99d8334e1c406d23942280e6c9c2626aa951b | [] | no_license | azukiyuna/CodeWars_Python | https://github.com/azukiyuna/CodeWars_Python | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 3,724 | # ---
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# #### [7 kyu]
# #### [Especially Joyful Numbers](htt... | 3,026 |
/Titanic.ipynb | de8e7e4f1416d8fa44e5c72e7a42963df65aca8b | [] | no_license | brentkuenzi/Kaggle-Titanic | https://github.com/brentkuenzi/Kaggle-Titanic | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 51,431 | # ---
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# + colab={"base_uri": "https://localhost:8080/"} id="vuuMs13D9-ab" outputId=... | 12,286 |
/archive_checkpoint/image_ready-Copy3-checkpoint.ipynb | 1169ab3a18bcab2bfe1be065ad5d18d131c72675 | [] | no_license | shichaoji/sourceIpythons | https://github.com/shichaoji/sourceIpythons | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 5,096 | # ---
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# # Step 1: Implement the vector gradient.
#
# Impleme... | 8,727 |
/DGGM/.ipynb_checkpoints/AAE druGAN-checkpoint.ipynb | f1cc7817df1c4882ad01d3a5bac047b2132bfbc7 | [] | no_license | VedangW/DGGM | https://github.com/VedangW/DGGM | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 38,288 | # ---
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# A working implementation of the AAE in Tensorflow as... | 14,114 |
/COMP9313_project_1/.ipynb_checkpoints/COMP9313 Project 1-specs-checkpoint.ipynb | 71d429ac859b4238d31ae12a73198674149fd085 | [] | no_license | simplemj/comp9313 | https://github.com/simplemj/comp9313 | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 10,334 | # ---
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 8,063 |
/module/.ipynb_checkpoints/TensorFlow-checkpoint.ipynb | 5a9e71f0ae6e8db79cafc132e641058b87f91e30 | [] | no_license | adra2n/notebook | https://github.com/adra2n/notebook | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 139,200 | # ---
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# # Test the StarNet model
#
# This notebook takes you... | 23,953 |
/curriculum/week-05/1.2-knn-classification-imputation-lab/starter-code/1.2-knn-classification-imputation-lab-starter.ipynb | 8e57d88c7ab282b671b5366765ab917e4868959b | [] | no_license | austinmwhaley/DSI-SF-4-austinmwhaley | https://github.com/austinmwhaley/DSI-SF-4-austinmwhaley | 0 | 1 | null | null | null | null | Jupyter Notebook | false | false | .py | 15,724 | # ---
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# # KNN for classification and imputation
#
#... | 4,097 |
/Lab for 1-20-23.ipynb | 59dc4ebdc61a23075593323b9b979063f6fcc779 | [] | no_license | cwcurtis/Math-340-Notebooks | https://github.com/cwcurtis/Math-340-Notebooks | 3 | 12 | null | null | null | null | Jupyter Notebook | false | false | .py | 4,848 | # ---
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# + [markdown] id="8if-ZJmp7jRb"
# 4-1. 들어가며
# 학습 목표
# 이번 시간의 목표입니다.
#
# 로이터 ... | 72,895 |
/src/GO SCI/.ipynb_checkpoints/load_data-checkpoint.ipynb | 88f6afcd61a6975a564df51bd4503e9e7e26a081 | [] | no_license | Ryuchen/RON_Model | https://github.com/Ryuchen/RON_Model | 10 | 2 | null | null | null | null | Jupyter Notebook | false | false | .py | 16,629 | # ---
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# # INSTALL
# Installing `JupyterLibrary` will bring a... | 2,298 |
/final_submission_FedotovD.ipynb | 5b442ddff1bd8f89b520e1f22711d4b9605de898 | [] | no_license | FedotovD/MERC2017 | https://github.com/FedotovD/MERC2017 | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 16,238 | # ---
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# +
import seaborn as sns
import pandas as pd
import n... | 4,331 |
/EDA.ipynb | b41d4bc65a0b44f1118e587393b89cbf069f603d | [] | no_license | akrawat912/911_Analysis_Streamlit-Heroku- | https://github.com/akrawat912/911_Analysis_Streamlit-Heroku- | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 67,447 | # ---
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# ### CNN:
# - Powerful deep networks that are qwide;y... | 7,676 |
/.ipynb_checkpoints/exploratory_data_analysis_jonas-checkpoint.ipynb | a8522209d6b13421304ccc8651845f6448cb2b32 | [] | no_license | metzj/Road_Identification | https://github.com/metzj/Road_Identification | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 6,845 | # ---
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# # Exploratory Data Analysis
# + active=""
# Explora... | 4,814 |
/raw_data_processing.ipynb | da65dd12e534220ea9229b674f1ac7cdd2be60d2 | [] | no_license | skyu0221/Solar-RL | https://github.com/skyu0221/Solar-RL | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 42,245 | # ---
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# # Market Segmentation
# ## Hierarchical Agglomerati... | 5,201 |
/TSFEL_HAR_Example.ipynb | b05184c393542d78a90ecc8287f024b097c9660a | [
"MIT"
] | permissive | ghayth82/tsfel | https://github.com/ghayth82/tsfel | 1 | 0 | null | 2019-02-22T10:38:42 | 2019-01-28T16:38:33 | null | Jupyter Notebook | false | false | .py | 195,936 | # ---
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# +
# Day 4
# +
# Input range 172851-675869
# -
import nump... | 1,804 |
/A#4.ipynb | 5f399a01e9df757b74ffa80ea01560eee0640920 | [] | no_license | alirezasalamat/AI-CarPricePrediction | https://github.com/alirezasalamat/AI-CarPricePrediction | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 1,398,455 | # ---
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# # Machine Learning
#
# ### FALL-99 A#4
# ### Bahar E... | 17,488 |
/.ipynb_checkpoints/Untitled-checkpoint.ipynb | b924be322bc6a173857b0854f1fb6c42b7fe4318 | [] | no_license | zsun1990/mnist_classification | https://github.com/zsun1990/mnist_classification | 0 | 0 | null | null | null | null | Jupyter Notebook | false | false | .py | 1,210 | # ---
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import numpy as np
np.zeros((3,3,3))
n, datasets
fro... | 20,209 |
/labs/mxboard/mxboard_cifar10.ipynb | 3c91329ca219a467b7f5e1028157b246f370faac | [] | no_license | ThomasDelteil/GluonBootcamp | https://github.com/ThomasDelteil/GluonBootcamp | 2 | 0 | null | 2018-08-01T20:39:03 | 2018-07-31T10:39:37 | null | Jupyter Notebook | false | false | .py | 14,935 | # ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.15.2
# kernelspec:
# display_name: Environment (conda_mxb_1_tb1.6)
# language: python
# name: conda_mxb_1_tb1.6
# ---
# !rm -rf ./logs
# +... | 9,159 |
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