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The simplest, fastest repository for training/finetuning medium-sized GPTs.
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"
An industrial deep learning framework for high-dimension sparse data
dataset and code for 2016 paper "Learning a Driving Simulator"
DualGAN-tensorflow: tensorflow implementation of DualGAN
Python3.6 Scraper Toolbox, You can almost Scrap Anything in this Repo, Welcome Pull Request
中文古诗自动作诗机器人，x炸天，基于tensorflow1.10 api，正在积极维护升级中，快star，保持更新！
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Code release for "Convolutional Two-Stream Network Fusion for Video Action Recognition", CVPR 2016.
Video Classification using 2 stream CNN
code for Two-Stream SR-CNNs for Action Recognition in Videos 2016
RTBkit is an open-source software package that allows you to create and deploy a Real Time Bidder for display advertising.
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
Seq2seq chatbot with attention and anti-language model to suppress generic response, option for further improve by deep reinforcement learning.
ChatterBot is a machine learning, conversational dialog engine for creating chat bots
My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot
Sequence to Sequence Learning with Keras
Implementation of "Sequence to Sequence – Video to Text"
pyNetBuilder is a modular pytonic interface with builtin modules for generating popular caffe prototxt network file definitions.
Detect Porngraphic Images by Deep Learning (Using Keras and Tensorflow)
A library for time series analysis on Apache Spark
Automatic extraction of relevant features from time series: