1621 Open source projects that are alternatives of or similar to Leakgan

A curated list of dedicated resources and applications

TextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.

Conversational AI Reading Materials

Machine Learning and having it Deep and Structured (MLDS) in 2018 spring

Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.

Code for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.

Quiz & Assignment of Coursera

A collection of machine learning examples and tutorials.

Blocks World -- Simulator, Code, and Models (Misra et al. EMNLP 2017)

Automatic Generation of Brief Summaries of Time-Series Data

Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/

AI Research Platform for Reinforcement Learning from Real Panoramic Images.

How to use TensorLayer

Open Machine Learning course at MIPT

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

Integrating the Best of TF into PyTorch, for Machine Learning, Natural Language Processing, and Text Generation. This is part of the CASL project: http://casl-project.ai/

My Reading Lists of Deep Learning and Natural Language Processing

A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

Kadot, the unsupervised natural language processing library.

NLP and Text Generation Experiments in TensorFlow 2.x / 1.x

DGMs for NLP. A roadmap.

Machine Learning notebooks for refreshing concepts.

Accelerated deep learning R&D

Summarization Papers

repository to research & share the machine learning articles

Recent Deep Learning papers in NLU and RL

A curated list of awesome self-supervised methods

A curated list of recent models of text generation and application

TextBox is an open-source library for building text generation system.

Accelerated Reinforcement Learning for Sentence Generation by Vocabulary Prediction

PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

in progress

Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.

Code for ACL 2018 paper: "Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. Chen and Bansal"

Code for "KBGAN: Adversarial Learning for Knowledge Graph Embeddings" https://arxiv.org/abs/1711.04071

Tensorflow implementation of generative adversarial imitation learning

A curated awesome list of AI Startups in India & Machine Learning Interview Guide. Feel free to contribute!

Cornell Instruction Following Framework

The notes for Math, Machine Learning, Deep Learning and Research papers.

Meandering In Networks of Entities to Reach Verisimilar Answers

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

Collection of stats, modeling, and data science tools in Python and R.

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

Some JavaScript works published as demos, mostly ML or DS

Generating Text through Adversarial Training(GAN) using Skip-Thought Vectors

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

Quiz & Assignment of Coursera

Open source annotation tool for machine learning practitioners.

Paper reading list in natural language processing, including dialogue systems and text generation related topics.

T2F: text to face generation using Deep Learning

❔ Visual Question Answering in Torch

Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)

My Keras implementation of the Deep Semantic Similarity Model (DSSM)/Convolutional Latent Semantic Model (CLSM) described here: http://research.microsoft.com/pubs/226585/cikm2014_cdssm_final.pdf.

RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.

A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)

AutoKernel 是一个简单易用，低门槛的自动算子优化工具，提高深度学习算法部署效率。

This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in …