bookcold

awesome-fraud-detection-papers

A curated list of data mining papers about fraud detection.

nndl.github.io

《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

BERT-pytorch

Google AI 2018 BERT pytorch implementation

spinningup

An educational resource to help anyone learn deep reinforcement learning.

Recurrent-Point-Process

Modeling the asynchronous event sequence via Recurrent Point Process

tpprl

Code and data for "Deep Reinforcement Learning of Marked Temporal Point Processes", NeurIPS 2018

graph_nets

Build Graph Nets in Tensorflow

gt-nlp-class

Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"

NMT_GAN

generative adversarial nets for neural machine translation

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

SeqGAN-Tensorflow

SeqGAN implementation with Tensorflow

generative-models

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

Reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

VITutorial

This repository stores slides for a tutorial on variational inference for NLP audiences.

Structured-Self-Attentive-Sentence-Embedding

An open-source implementation of the paper ``A Structured Self-Attentive Sentence Embedding'' (Lin et al., ICLR 2017).

higgsfield

Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

PeerRead

Data and code for Kang et al., NAACL 2018's paper titled "A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications"

machine_learning_basics

Plain python implementations of basic machine learning algorithms

Keras-GAN

Keras implementations of Generative Adversarial Networks.

lectures-labs

Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris

unintended-ml-bias-analysis

A2C

A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow

welcome_tutorials

Various tutorials given for welcoming new students at MILA.

basic_reinforcement_learning

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

machine-learning-curriculum

:computer: Learn to make machines learn so that you don't have to struggle to program them; The ultimate list

visdom

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

pytorch-a2c-ppo-acktr-gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

nlp_tasks

Natural Language Processing Tasks and References

awesome-dl4nlp

A curated list of awesome Deep Learning (DL) for Natural Language Processing (NLP) resources

tensorflow-generative-model-collections

Collection of generative models in Tensorflow