Stars
Python Data Science Handbook: full text in Jupyter Notebooks
Learn how to design, develop, deploy and iterate on production-grade ML applications.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
A collection of various deep learning architectures, models, and tips
This repository contains implementations and illustrative code to accompany DeepMind publications
YSDA course in Natural Language Processing
An open-source, low-code machine learning library in Python
Lab Materials for MIT 6.S191: Introduction to Deep Learning
A collection of infrastructure and tools for research in neural network interpretability.
TensorFlow Tutorial for Time Series Prediction
Feature exploration for supervised learning
iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data
A repository containing tutorials for practical NLP using PyTorch
This is my assignment on Andrew Ng's course “neural networks and deep learning”
Full tutorial of computer vision and machine learning basics with OpenCV and Keras in Python.
Udacity's Deep Learning Nano Foundation program.
A workshop for scientific computing in Python. ( December 2017 )
Deep Learning examples with Keras.
Food detection and recommendation with deep learning
Explains nlp building blocks in a simple manner.
An introduction to the world of AI Agents
This repository contains all the material for the MLTrain NIPS workshop
Jupyter notebook for Udemy course: Python data science and machine learning bootcamp
Collection of Tutorials and other Quantum Computer programming related things.
This repository is created to teach students about Machine Learning and Deep Learning using TensorFlow.
Hands-on Reinforcement Learning with TensorFlow by Packt Publishing