6744 Open source projects that are alternatives of or similar to Deeplearningcoursecodes

Course materials and handouts for #100DaysOfCode in Python course

Tutorial Sessions for SciPy Con 2019

A short tutorial on Elmo training (Pre trained, Training on new data, Incremental training)

Tutorial for End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF

Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019

Notebooks for the SciPy 2017 tutorial "The Jupyter Interactive Widget Ecosystem"

This is a jupyter practical tutorial. Welcome to edit together!

Machine learning with scikit-learn tutorial at PyData Chicago 2016

Combining Psi4 and Numpy for education and development.

Tutorial: Web scraping in Python with Beautiful Soup

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Tutorial covering Open Source tools for Source Separation.

TensorFlow Tutorials with YouTube Videos

Best Practices on Recommendation Systems

Tutorials and training material for the H2O Machine Learning Platform

A Tensorflow implementation of a Variational Autoencoder for the deep learning course at the University of Southern California (USC).

A collection of Jupyter notebooks showing how to use the Qiskit SDK

Tutorial for using Kitti dataset easily

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

INTERSPEECH 2019 Tutorial Materials

This repository provides everything you need to get started with Python for (social science) research.

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Tutorials for the Astropy Project

Quick, visual, principled introduction to pytorch code through five colab notebooks.

A day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects

My Attempt(s) In The World Of ML/DL....

Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?

Source material for Python Like You Mean it

100+ python programming exercise problem discussed ,explained and solved in different ways

Sample notebooks for Kaggle competitions

Tutorial teaching the basics of Keras and some deep learning concepts

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

A Chinese translation of Jake Vanderplas' "Python Data Science Handbook". 《Python数据科学手册》在线Jupyter notebook中文翻译

Natural Language Processing Tutorial for Deep Learning Researchers

ARCHIVED: Contains historical course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL

📚 机器学习基石和机器学习技法作业

Jupyter notebook and datasets from the pandas Q&A video series

Learning Vis Tools: Tutorial materials for Data Visualization course at HKUST

MicaSense RedEdge and Altum image processing tutorials

An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

Google2Csv a simple google scraper that saves the results on a csv/xlsx/jsonl file

tutorials made for biologists to learn deep learning

image processing codes to understand algorithm

Important paper implementations for Question Answering using PyTorch

🟣 Object detection of abstract shapes with neural networks

Scenarios, tutorials and demos for Autonomous Driving

Material for the tutorial: "Deep Diving into GANs: from theory to production"

top 1% solution to toxic comment classification challenge on Kaggle.

A python tutorial on bayesian modeling techniques (PyMC3)

Anomaly detection tutorial on univariate time series with an auto-encoder

Deep Learning Zero to All - Tensorflow

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

Deep Learning / NLP tutorial for Chatbot Developers

SuperComputing 2017 Deep Learning Tutorial

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

Allstate Kaggle Competition ML Capstone Project

A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding).

Deep learning system course

[tutorial]A functional, Data Science focused introduction to Python

Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph