bmanobel's repositories
d2l-pytorch
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
deeplearning-models
A collection of various deep learning architectures, models, and tips
character-based-cnn
Implementation of character based convolutional neural network
Deeplearning.ai
Materials from deeplearning.ai course on Coursera
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
Deep-learning-with-Python
Deep learning codes and projects using Python
captum
Model interpretability and understanding for PyTorch
Machine-Learning-with-Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
python-programming
Python Programming @ WebValley 2019
ThinkDSP
Think DSP: Digital Signal Processing in Python, by Allen B. Downey.
DeepLearning.ai-Summary
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
deep-learning-keras-tensorflow
Introduction to Deep Neural Networks with Keras and Tensorflow
Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
DLwithPyTorch
Code to accompany my upcoming book "Deep learning with PyTorch Book " from Packt
text_similarity
Text Similarity
machine_learning_examples
A collection of machine learning examples and tutorials.
disentanglement_lib
disentanglement_lib is an open-source library for research on learning disentangled representations.
ml-notebooks
This repository contains some Jupyter notebooks I've put together while working on machine learning topics.
pytorch-Deep-Learning-Minicourse
Minicourse in Deep Learning with PyTorch
pyod
A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)
bayesian-machine-learning
Notebooks related to Bayesian methods for machine learning
mit-deep-learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
NLP-with-Python
Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more
Machine-Learning-Study-Path-March-2019
A complete ML study path, focused on TensorFlow and Scikit-Learn
pymc3
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano
own_data_cnn_implementation_keras
A complete tutorial on using own dataset to train a CNN from scratch in Keras (TF & Theano Backend)-
the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
hmmlearn
Hidden Markov Models in Python, with scikit-learn like API