Fernando (@FernandoLpz)
github

FernandoLpz

Twitter logo Share LinkedIn logo Share Facebook logo Share
  • Stars
    star
    276
  • Global Rank 95,341 (Top 4 %)
  • Followers 56
  • Following 25
  • Registered about 8 years ago
  • Most used languages
    Python
         77.3 %
    Jupyter Notebook
         22.7 %
  • Location πŸ‡²πŸ‡½ Mexico
  • Country Total Rank 180
  • Country Ranking
    Python
         19
    Jupyter Notebook
         85

Top repositories

1

Text-Classification-LSTMs-PyTorch

The aim of this repository is to show a baseline model for text classification by implementing a LSTM-based model coded in PyTorch. In order to provide a better understanding of the model, it will be used a Tweets dataset provided by Kaggle.
Python
50
star
2

Text-Classification-CNN-PyTorch

The aim of this repository is to show a baseline model for text classification through convolutional neural networks in the PyTorch framework. The architecture implemented in this model was inspired by the one proposed in the paper: Convolutional Neural Networks for Sentence Classification.
Python
46
star
3

Text-Generation-BiLSTM-PyTorch

In this repository you will find an end-to-end model for text generation by implementing a Bi-LSTM-LSTM based model with PyTorch's LSTMCells.
Python
44
star
4

Kubeflow_Pipelines

This repository aims to develop a step-by-step tutorial on how to build a Kubeflow Pipeline from scratch in your local machine.
Python
37
star
5

Stacking-Blending-Voting-Ensembles

This repository contains an example of each of the Ensemble Learning methods: Stacking, Blending, and Voting. The examples for Stacking and Blending were made from scratch, the example for Voting was using the scikit-learn utility.
Python
37
star
6

SKORCH-PyTorch-Wrapper

This repository shows an example of the usability of SKORCH to train a PyTorch model making use of different capabilities of the scikit-learn framework.
Python
10
star
7

SHAP-Classification-example

This repository contains an example of how to implement the shap library to interpret a machine learning model.
Jupyter Notebook
8
star
8

VGAE-PyTorch

This repository shows an implementation of the VGAE based model with PyTorch.
Python
8
star
9

TPOT-Optimal-Pipeline-Searching

This repository contains an implementation of TPOT for obtaining optimal pipelines with the use of genetic algorithms.
Python
4
star
10

Tracking-ML-model-MLflow

This repository shows the use of MLflow to track parameters, metrics and artifacts of a pipeline on a machine learning model.
Python
4
star
11

PolynomialCurveFitting

This code shows the implementation of polynomial curve fitting and the regularization over the parameters. In this example we are trying to fit the curve generate by the function sin(2pix), where "x" is a vector of values generated randomly under a normal distribution.
Python
4
star
12

SpeechRecognition

This repository contains the implementation of an Automatic Speech Recognition system in python, using a client-server architecture with Web Sockets.
Python
4
star
13

ONNX-PyTorch-TF-Caffe2

This repository shows an example of how to use the ONNX standard to interoperate between different frameworks. In this example, we train a model with PyTorch and make predictions with Tensorflow, ONNX Runtime, and Caffe2.
Python
4
star
14

Optuna-Sklearn-PyTorch

Python
3
star
15

AuthorVerificiation

This repository shows up a siamese arquitectue proposed to solve the problem of author verification particularly the problem about given a pair of documents decide if both are from the same author or not based on their writting style. The siamese arquitecture is composed by an assemble of two convolutional layers and a LSTM recurrent neurnal net followed by a euclidean distance.
Python
3
star
16

FeatureSelection_-_RandomForest

# Feature Selection & Random Forest-based Model In this kernel I will develop a solution by first, selecting the most relevant features and then applying a random forest to solve the classification problem
Jupyter Notebook
3
star
17

PyTorch-Lightning

This repository shows a couple of examples to start using PyTorch Lightning right away. PyTorch Lightning provides several functionalities that allow to organize in a flexible, clean and understandable way each component of the training phase of a PyTorch model
Python
2
star
18

MLFlow-example

Python
1
star
19

Crimes

The purpose of this notebook is to show a deep analysis of the behavior of crimes happended in CDMX, MΓ©xico in years from 2014 to 2016.
Jupyter Notebook
1
star
20

YouTube

Python
1
star
21

AnalyzingDocuments

This project shows up the algorithm k-means implemented to cluster documents from the contest PAN CLEF 2O16 where the topics of the documentes are reviews and novels.
Jupyter Notebook
1
star
22

Analysis_Taxi_behavior_NY

In this notebook I show you an analysis of taxis behavior in September, 2015 NY. The idea of this work is to find and show you insights as well as some visualizations to understand in a better way the analysis.
Jupyter Notebook
1
star