Pinned Repositories
Chinese_financial_sentiment_dictionary
A Chinese financial sentiment word dictionary
CVPR2020-Code
CVPR 2020 论文开源项目合集
100-Days-Of-ML-Code
100 Days of ML Coding
100-plus-Python-programming-exercises-extended
100+ python programming exercise problem discussed ,explained and solved in different ways
AdversarialNetsPapers
The classical paper list with code about generative adversarial nets
anago
Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.
arxiv-sanity-preserver
Web interface for browsing, search and filtering recent arxiv submissions
awesome-deep-reinforcement-learning-in-finance
🔬 A collection for those AI (RL / DL / SL / Evoluation / Genetic Algorithm) used in financial market. otherwise, we add Technology Analysis / Alpha Research / Arbitrage and other useful strategies tools & docs in quantitative finance market.
awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
Awesome-Quant-Machine-Learning-Trading
Quant/Algorithm trading resources with an emphasis on Machine Learning
moyu18's Repositories
moyu18/100-plus-Python-programming-exercises-extended
100+ python programming exercise problem discussed ,explained and solved in different ways
moyu18/texthero
Text preprocessing, representation and visualization from zero to hero.
moyu18/NLP-Conferences-Code
NLP-Conferences-Code (ACL、EMNL、NAACL、COLING、AAAI、IJCAI)
moyu18/CVPR2020-Code
CVPR 2020 论文开源项目合集
moyu18/transformers-tutorials
Github repo with tutorials to fine tune transformers for diff NLP tasks
moyu18/Deep-Learning-with-TensorFlow-book
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
moyu18/tensorflow-handbook
简单粗暴 TensorFlow 2 | A Concise Handbook of TensorFlow 2 | 一本简明的 TensorFlow 2 入门指导教程
moyu18/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
moyu18/deep-stock
Deep Learning for Stock Market
moyu18/deeplearning-models
A collection of various deep learning architectures, models, and tips
moyu18/machine_learning_beginner
机器学习初学者公众号作品
moyu18/Chinese_financial_sentiment_dictionary
A Chinese financial sentiment word dictionary
moyu18/tensorflow2_tutorials_chinese
tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials
moyu18/nlp_course
YSDA course in Natural Language Processing
moyu18/MogrifierLSTM
A quick walk-through of the innards of LSTMs and a naive implementation of the Mogrifier LSTM paper in PyTorch
moyu18/python-is-cool
Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.
moyu18/numpy-ml
Machine learning, in numpy
moyu18/anago
Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.
moyu18/Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
moyu18/yousan.ai
Awesome resources of yousan.ai(closely related to deep learning).
moyu18/awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
moyu18/Python-100-Days
Python - 100天从新手到大师
moyu18/deeplearning4j-examples
Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)
moyu18/numpy-100
100 numpy exercises (with solutions)
moyu18/100-Days-Of-ML-Code
100 Days of ML Coding
moyu18/PyTorch-Tutorial
Build your neural network easy and fast
moyu18/arxiv-sanity-preserver
Web interface for browsing, search and filtering recent arxiv submissions
moyu18/XGBoostLSS
An extension of XGBoost to probabilistic forecasting.
moyu18/AdversarialNetsPapers
The classical paper list with code about generative adversarial nets
moyu18/state-of-the-art-result-for-machine-learning-problems
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.