drjeym's repositories
pytorchTutorial
PyTorch Tutorials from my YouTube channel
BentoML
Model Serving Made Easy
data_sci_guide
A community-sourced data science repo.
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
hummingbird
Hummingbird compiles trained ML models into tensor computation for faster inference.
leafmap
A Python package for geospatial analysis and interactive mapping with minimal coding in a Jupyter environment
mmediting
OpenMMLab Image and Video Editing Toolbox
models
Models and examples built with TensorFlow
NeuralPy
NeuralPy: A Keras like deep learning library works on top of PyTorch
nlp_paper_summaries
✍️ A carefully curated list of NLP paper summaries
notebooks
Data analysis, maps and charts with Python, Pandas and Jupyter Notebook
Packt-Data_Wrangling
Code repo for Packt course I developed, "Beginning Data Wrangling with Python"
Pandas-Data-Science-Tasks
Set of real world data science tasks completed using the Python Pandas library
pandas_ui
pandas_ui helps you wrangle & explore your data and create custom visualizations without digging through StackOverflow. All inside your Jupyter Notebook ( alternative to Bamboolib ).
pewanalytics
Text and statistics utilities from Pew Research Center
pingouin
Statistical package in Python based on Pandas
Project-Predicting-Heart-Disease-with-Classification-Machine-Learning-Algorithms
Predict whether a patient should be diagnosed with Heart Disease. Examine trends & correlations within our data Determine which features are most important to Heart Disease diagnosis. We would like to deploy a Machine Learning algorithm where we can train our AI to learn & improve from experience. Thus, we would want to classify patients for Heart Disease.
ptext-release
pText is a library for reading, creating and manipulating PDF files in python.
Python-Snippets
Helpful snippets to work with Python
stanford-cs-230-deep-learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
stattests
Source code to reproduce experiments from the article Practitioner’s Guide to Statistical Tests
stumpy
STUMPY is a powerful and scalable Python library for computing a Matrix Profile, which can be used for a variety of time series data mining tasks
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.
the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
trendet
:chart_with_upwards_trend: Python package for trend detection on stock time series data :chart_with_downwards_trend:
Tutorials
Introductory tutorial notebooks for learning data science, as part of the Data Science in Practice materials.
Videos
Code associated with my videos