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TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Natural Language Processing Tutorial for Deep Learning Researchers
Simple tutorials using Google's TensorFlow Framework
From the basics to slightly more interesting applications of Tensorflow
Efficient Image Captioning code in Torch, runs on GPU
Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained
TensorFlow Basic Tutorial Labs
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
Content for Udacity's Machine Learning curriculum
Useful functions, tutorials, and other Python-related things
line drawing colorization using chainer
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
Files for Udemy Course on Algorithms and Data Structures
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
Handout for the tutorial "Creating publication-quality figures with matplotlib"
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
Tutorials and implementations for "Self-normalizing networks"
A toolkit for controlling Euro Truck Simulator 2 with the end-to-end driving model
Improving Convolutional Networks via Attention Transfer (ICLR 2017)
A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.
TensorFlow Tutorial for Time Series Prediction
PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
Dynamic seq2seq in TensorFlow, step by step
A series of machine learning tutorials for Torch7
TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets
A TensorFlow implementation of DeepMind's Differential Neural Computers (DNC)
A simple, minimal wrapper for tensorflow's seq2seq module, for experimenting with datasets rapidly