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KOUASSI Konan Jean-Claude Kjeanclaude

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Kjeanclaude / delete_first.py
Created December 8, 2016 22:35 — forked from adarsh0806/delete_first.py
delete_first
def delete_first(self):
deleted = self.head
if self.head:
self.head = self.head.next
deleted.next = None
return deleted
@Kjeanclaude
Kjeanclaude / amazon-rekognition.md
Created December 22, 2016 17:33 — forked from alexcasalboni/amazon-rekognition.md
Amazon Rekognition - Python Code Samples

Amazon Rekognition - Python Code Samples

  1. Labels Detection
  2. Faces Detection
  3. Faces Comparison
  4. Faces Indexing
  5. Faces Search
@Kjeanclaude
Kjeanclaude / TemporalCoupling.kt
Created April 17, 2017 14:11 — forked from ZakTaccardi/TemporalCoupling.kt
Companion code to https://medium.com/p/2c1687173c7c
class TemporalCoupling {
fun incorrectUsageOfBadApi() {
val badApi: BadApi = BadApi()
badApi.username = "Zak"
badApi.password = "temporalCouplingIsBad_123"
badApi.login() //throws an NullPointerException
}
@Kjeanclaude
Kjeanclaude / automobile.ipynb
Created May 28, 2017 01:02 — forked from martinwicke/automobile.ipynb
Estimator demo using Automobile dataset
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@Kjeanclaude
Kjeanclaude / improved_wGAN_loss.py
Created May 29, 2017 16:40 — forked from mjdietzx/improved_wGAN_loss.py
tensorflow implementation of Wasserstein distance with gradient penalty
"""
wGAN implemented on top of tensorflow as described in: [Wasserstein GAN](https://arxiv.org/pdf/1701.07875.pdf)
with improvements as described in: [Improved Training of Wasserstein GANs](https://arxiv.org/pdf/1704.00028.pdf).
"""
import tensorflow as tf
#
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Kjeanclaude / classifier_from_little_data_script_1.py
Created July 13, 2017 19:05 — forked from fchollet/classifier_from_little_data_script_1.py
Updated to the Keras 2.0 API.
'''This script goes along the blog post
"Building powerful image classification models using very little data"
from blog.keras.io.
It uses data that can be downloaded at:
https://www.kaggle.com/c/dogs-vs-cats/data
In our setup, we:
- created a data/ folder
- created train/ and validation/ subfolders inside data/
- created cats/ and dogs/ subfolders inside train/ and validation/
- put the cat pictures index 0-999 in data/train/cats