Pinned Repositories
A-Dual-Stage-Attention-Based-Recurrent-Neural-Network-for-Time-Series-Prediction
ABCNN
Implmentiaion of ABCNN(Attention-Based Convolutional Neural Network) on Tensorflow
adda
Arena-Baselines
Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.
AttentionXML
Implementation for "AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification"
CNN_sentence
CNNs for sentence classification
LINE
LINE: Large-scale information network embedding
LSTMRelatedness
Attempt at using LSTMs to predict semantic relatedness of sentences (a la Tai et al. in Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks, Kai Sheng Tai, Richard Socher, and Christopher D. Manning)
stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
wolfhu's Repositories
wolfhu/Arena-Baselines
Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.
wolfhu/ADGAT
Modeling the Momentum Spillover Effect for Stock Prediction via Attribute-Driven Graph Attention Networks
wolfhu/AIDungeon
Infinite adventures await!
wolfhu/allRank
allRank is a framework for training learning-to-rank neural models based on PyTorch.
wolfhu/audiolm-pytorch
Implementation of AudioLM, a SOTA Language Modeling Approach to Audio Generation out of Google Research, in Pytorch
wolfhu/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
wolfhu/CoCPC
wolfhu/ConceptFlow
wolfhu/CPM-1-Generate
Chinese Pre-Trained Language Models (CPM-LM) Version-I
wolfhu/DagstuhlGAN
wolfhu/Deep-Listwise-Context-Model-for-Ranking-Refinement
A Tensorflow implementation of the Deep Listwise Context Model (DLCM) for ranking refinement.
wolfhu/deep-q-learning
Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
wolfhu/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020
Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020. Please star.
wolfhu/DialogPretraining
wolfhu/dl-4-tsc
Deep Learning for Time Series Classification
wolfhu/FinRL-Library
A Deep Reinforcement Learning Library for Automated Trading in Quantitative Finance. NeurIPS 2020. Please star. 🔥
wolfhu/HiFiSinger
wolfhu/Informer2020
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
wolfhu/Listening-to-Chaotic-Whishpers--Code
wolfhu/maddpg
Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
wolfhu/nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
wolfhu/ParlAI
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
wolfhu/pbt-keras
Population Based Training of Neural Network implemented in Keras
wolfhu/question_generator
An NLP system for generating reading comprehension questions
wolfhu/ranknet-tensorflow2.0
Implementation of RankNet to LambdaRank in TensorFlow 2.0
wolfhu/Reinforcement-learning-in-portfolio-management-
In this paper, we implement three state-of-art continuous reinforcement learning algorithms, Deep Deterministic Policy Gradient (DDPG), Proximal Policy Optimization (PPO) and Policy Gradient (PG)in portfolio management.
wolfhu/ScriptWriter
ACL 2020: ScriptWriter: Narrative-Guided Script Generation
wolfhu/time_series_forecasting
wolfhu/trfl
TensorFlow Reinforcement Learning
wolfhu/ULTRA
Unbiased Learning To Rank Algorithms (ULTRA)