6361 Open source projects that are alternatives of or similar to 2016learnpython

This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera

Guide explaining and implementing fundamental machine learning algorithms in Python

A collection of materials to help you learn about deep learning

A course in reinforcement learning in the wild

CS 771A: Introduction to Machine Learning, IIT Kanpur, 2019-20-autumn offering

📚 The Open Source Education Initiative – a repository with resources for 60+ engineering subjects. Let's make education more open and accessible! 🚀✨

CMU Lecture: Machine Learning In Production / AI Engineering / Software Engineering for AI-Enabled Systems (SE4AI)

USC urban data science course series with Python and Jupyter

A workshop on data privacy methods for data scientists.

All of the code for my Medium articles

Teaching and Learning with Jupyter

📝 A compilation of everything that I learn; Computer Science, Software Development, Engineering, Math, and Coding in General. Read the rendered results here ->

💿 Free software that works great, and also happens to be open-source Python.

Course materials for Introduction to Computational Literary Analysis, taught at UC Berkeley in Summer 2018, 2019, and 2020, and at Columbia University in Fall 2020.

Course materials for Dartmouth Course: Storytelling with Data (PSYC 81.09).

📘 Contains a series of hands-on notebooks for learning the fundamentals of NLP

Learn advanced data science on real-life, curated problems

Material for the EPFL master course "A Network Tour of Data Science", edition 2017.

course materials for introduction to deep learning 2020

🎓 Educational application of Hidden Markov Model to Autonomous Driving 🚕🚙🚗

DL course co-developed by YSDA, HSE and Skoltech

Machine Learning Projects and Learning Content

Machine learning course materials.

Preparatory Materials, Self-guided Learning, and Project Management for Neuromatch Academy activities

Using Data Science and Machine Learning to find an apartment in Amsterdam.

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

Large-scale Graph Mining with Spark

Various GANs for playing around

Differentiable interface to FEniCS for JAX using dolfin-adjoint/pyadjoint

MET CS 777 Big Data Analytics

Exercises for tf (eager) learning

✍️ Convolutional Recurrent Neural Network in Pytorch | Text Recognition

Learn Quantum Computing with Python and IBM Quantum Experience, published by Packt

High Quality Monocular Depth Estimation via Transfer Learning

Automatic Speech Recognition Dataset Generation

(Winter 2015) Python for Data Mining mini-course.

To make a library of models that aim to understand the spread of COVID19 in adequate scenarios of the Brazilian population

beginner-friendly project to help you in open-source contributions. Made specifically for contributions in HACKTOBERFEST 2020! Hello World Programs in any language and C and Cpp program , Please leave a star ⭐ to support this project! ✨

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

My IJulia notebooks

Udacity Machine Learning Engineer Nanodegree

neuro data analysis in python

Visualization Toolbox for Long Short Term Memory networks (LSTMs)

Machine learning for Project Cognoma

Image clustering using the similarity algorithms: SIFT, SSIM, CW-SSIM, MSE

Common data science and data engineering utilities to help us perform analytics. Our toolbox for data scientists, licensed under Apache-2.0

Projects for Udacity's Machine Learning Engineer Nanodegree

My weekly of machine learning. Collection of implemented algorithms.

A small, simple editor for beginner Python programmers. Written in Python and Qt5.

Deep-learning seismic facies on state-of-the-art CNN architectures

QA - Answer Selection (Rank candidate answers for a given question)

Alpine Container for Machine Learning

Implementation of Google's Inception + ResNet v2 architecture in Keras

Dockerfile of Jupyter (IPython notebook) and IOCaml (OCaml kernel) with libraries for data science and machine learning

Variational Reccurrent Autoencoder for Embedding stocks to vectors based on the price history