bmanobel Goto Github PK
Name: bmanobel
Type: User
Location: Spain
bmanobel's Projects
machine-learning
Código Python y archivos csv con ejemplos para los ejercicios del Blog aprendemachinelearning.com
machine-learning-book
Code Repository for Machine Learning with PyTorch and Scikit-Learn
machine-learning-for-imbalanced-data
Machine Learning for Imbalanced Data, published by Packt
machine-learning-study-path-march-2019
A complete ML study path, focused on TensorFlow and Scikit-Learn
machine-learning-with-python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
machine_learning_examples
A collection of machine learning examples and tutorials.
material
Materials of the PyData Madrid monthly meetups
meetup_python_jan2016
MeetUp Python_Sevilla group - "Intro to geographic data processing with Python"
mit-deep-learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
ml-notebooks
This repository contains some Jupyter notebooks I've put together while working on machine learning topics.
ml-road
Machine Learning Resources, Practice and Research
montecarlotutorial
Repo to supplement my tutorial on Monte Carlo Simulations and Importance Sampling
nlp-with-python
Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more
nlp_applications
The repository contains notebooks written in Python about NLP applications. The first folder created in this repository maintains the implementation of multi-label text classification on movies dataset. In the long term this repository will include hands-on applications and notebooks for various field of the NLP discipline.
nlp_course
YSDA course in Natural Language Processing
nlp_scripts
Contains notebooks related to various transformers based models for different nlp based tasks
notebooks
Jupyter notebooks for the Natural Language Processing with Transformers book
notebooks_aisuko
Implementation for the different ML tasks on Kaggle platform with GPUs.
nyu-dlsp21
NYU Deep Learning Spring 2021
own_data_cnn_implementation_keras
A complete tutorial on using own dataset to train a CNN from scratch in Keras (TF & Theano Backend)-
peer-group-analysis-clustering
Unsupervised Clustering of Time Series using Peer Group Analysis PGA
pneumonia-diagnosis-using-xrays-96-percent-recall
BEST SCORE ON KAGGLE SO FAR , EVEN BETTER THAN THE KAGGLE TEAM MEMBER WHO DID BEST SO FAR. The project is about diagnosing pneumonia from XRay images of lungs of a person using self laid convolutional neural network and tranfer learning via inceptionV3. The images were of size greater than 1000 pixels per dimension and the total dataset was tagged large and had a space of 1GB+ . My work includes self laid neural network which was repeatedly tuned for one of the best hyperparameters and used variety of utility function of keras like callbacks for learning rate and checkpointing. Could have augmented the image data for even better modelling but was short of RAM on kaggle kernel. Other metrics like precision , recall and f1 score using confusion matrix were taken off special care. The other part included a brief introduction of transfer learning via InceptionV3 and was tuned entirely rather than partially after loading the inceptionv3 weights for the maximum achieved accuracy on kaggle till date. This achieved even a higher precision than before.
progit2-es
Spanish Translation
pymc3
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano
pyod
A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)
pyreglasasociacion
PyConES 2016 - py-reglas de asociacion talk
pystatsml
Statistics and Machine Learning in Python
python-ml-course
Curso de Introducción a Machine Learning con Python
python-programming
Python Programming @ WebValley 2019
pytorch-deep-learning-minicourse
Minicourse in Deep Learning with PyTorch
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