K1ngP1r@t&'s Projects
You know it, you use it, now it's time to improve it. PWD!.
Play with neural networks!
Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"
Pretrained ConvNets for pytorch: ResNeXt101, ResNet152, InceptionV4, InceptionResnetV2, etc.
Compilation of pre-trained deep learning models with demos and code.
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO) and Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR).
PyTorch implementation of the Quasi-Recurrent Neural Network - up to 16 times faster than NVIDIA's cuDNN LSTM
PyTorch Tutorial for Deep Learning Researchers
FloydHub quick start project
Sequence to sequence recipe summarization
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Resumes generated using the GitHub informations
Code for Deep RL from Human Preferences [Christiano et al]. Plus a webapp for collecting human feedback
Implementation of SmoothGrad as well as several other saliency techniques
Ho Ho Ho
A neural network that transforms a screenshot into a static website
Udacity Self-Driving Car Engineer Nanodegree projects.
A general-purpose encoder-decoder framework for Tensorflow
Game Agent Framework. Helping you create AIs / Bots to play any game you own! BETA
A flexible, high-performance serving system for machine learning models
Tutorials and implementations for "Self-normalizing networks"
TensorFlow-based neural network library
Learning embeddings for classification, retrieval and ranking.
sketch + style = paints !
Explore how machine learning works, live in the browser. No coding required.
A library for generalized sequence to sequence models
TensorFlow's Visualization Toolkit
Concise TensorFlow Examples for Beginners with Latest APIs
Collection of generative models in Tensorflow