dlab-berkeley / Python-Deep-Learning-LegacyLinks
D-Lab's 6 hour introduction to deep learning in Python. Learn how to create and train neural networks using Tensorflow and Keras.
☆17Updated 2 years ago
Alternatives and similar repositories for Python-Deep-Learning-Legacy
Users that are interested in Python-Deep-Learning-Legacy are comparing it to the libraries listed below
Sorting:
- Data visualization in Python with Matplotlib & Seaborn☆45Updated 3 years ago
- Building a model for predicting whether a student will be admitted to college. Done as a part of Project of the Week at DataTalks.Club☆11Updated 2 years ago
- GUI-based software for training, evaluating and applying deep neural nets for image classification☆116Updated last year
- ☆21Updated 3 years ago
- DS-GA 1013 Mathematical Tools for Data Science☆52Updated 4 years ago
- This repository contains my work that supports my article on Towards Data Science: "Exploring the Most Popular Machine Learning and Deep …☆21Updated 3 years ago
- Explorations of survival analysis in Python☆49Updated 2 years ago
- A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)☆87Updated 2 years ago
- Repository for a workshop on Bayesian Decision Analysis☆71Updated 2 years ago
- A collection of my blogs on Data Science and Machine learning.☆85Updated 8 months ago
- ☆17Updated 2 years ago
- Adding timestamps to NumFOCUS and PyData YouTube videos!☆96Updated 3 years ago
- 📝 Examples of how to use Neptune for different use cases and with various MLOps tools☆86Updated 3 months ago
- 3 Minutes Machine Learning☆16Updated 2 years ago
- A streamlit app showing image processing techniques.☆15Updated 4 years ago
- Regular expression concepts with code examples☆12Updated 3 years ago
- Supplementary material for the article "Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning"☆71Updated 3 years ago
- ☆46Updated 2 years ago
- Beginner's introduction to the pandas library for data manipulation☆27Updated 4 years ago
- Automatic machine learning for tabular data. ⚡🔥⚡☆70Updated 3 years ago
- A repository containing data and files for my stories on Medium.com.☆56Updated 6 months ago
- Learn how to create reliable ML systems by testing code, data and models.☆88Updated 2 years ago
- Contains code and data for "The Researchers' Guide" Medium blogs☆41Updated 2 years ago
- The fastai book, 2nd edition (in progress)☆55Updated last year
- Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.☆51Updated last year
- Image Annotator Web-app using Plotly-Dash, MongoDB, and MLflow☆14Updated 2 years ago
- Exploratory Data Analysis with Python☆22Updated 2 years ago
- This is the live website of The Institute for Ethical AI & ML, as well as The 8 Principles for Machine Learning.☆50Updated this week
- Machine Learning Engineering Camp 2022☆39Updated 2 years ago
- ☆166Updated 7 months ago