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

Learn how to design, develop, deploy and iterate on production-grade ML applications.

A collection of various deep learning architectures, models, and tips

📡 Simple and ready-to-use tutorials for TensorFlow

One has no future if one couldn't teach themself.

Your new Mentor for Data Science E-Learning.

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

YSDA course in Natural Language Processing

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

TensorFlow Tutorials with YouTube Videos

A collection of pre-trained, state-of-the-art models in the ONNX format

Image restoration with neural networks but without learning.

Code for Tensorflow Machine Learning Cookbook

A scikit-learn compatible neural network library that wraps PyTorch

A collection of infrastructure and tools for research in neural network interpretability.

Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained

Language-Agnostic SEntence Representations

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

TensorFlow Tutorials

Fast and Easy Infinite Neural Networks in Python

Feature selector is a tool for dimensionality reduction of machine learning datasets

Neural Style and MSG-Net

The codes I made while I practiced various TensorFlow examples

Deep Learning Projects that Build Themselves

LSTMS for Predictive Maintenance

High-Resolution Network for Photorealistic Style Transfer

PyTorch Implementation of Session-based Recommendations with Recurrent Neural Networks(ICLR 2016, Hidasi et al.)

Predictive Maintenance using Pyspark

Implementation of A Structured Self-attentive Sentence Embedding