jockerxlj's Stars
CyC2018/CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计
google-research/bert
TensorFlow code and pre-trained models for BERT
tensorflow/tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
jina-ai/clip-as-service
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
fuck-xuexiqiangguo/Fuck-XueXiQiangGuo
学习强国 懒人刷分工具 自动学习
huseinzol05/Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
pythonstock/stock
stock，股票系统。使用python进行开发。
SophonPlus/ChineseNlpCorpus
搜集、整理、发布 中文 自然语言处理 语料/数据集，与 有志之士 共同 促进 中文 自然语言处理 的 发展。
borisbanushev/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.
zackchase/mxnet-the-straight-dope
An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at https://d2l.ai/.
BrikerMan/Kashgari
Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.
HuaRongSAO/talib-document
talib学习 talib中文翻译 talib中文文档
keras-team/keras-contrib
Keras community contributions
szagoruyko/wide-residual-networks
3.8% and 18.3% on CIFAR-10 and CIFAR-100
laiguokun/multivariate-time-series-data
Mcompetitions/M4-methods
Data, Benchmarks, and methods submitted to the M4 forecasting competition
shunyaoshih/TPA-LSTM
Temporal Pattern Attention for Multivariate Time Series Forecasting
qmhedging/poboquant
quant strategy backtesting from pobo financial
bighuang624/Time-Series-Papers
List of awesome papers about time series, mainly including algorithms based on machine learning | 收录时间序列分析中各个研究领域的高水平文章，主要包含基于机器学习的算法
chatgpt-prompts/ChatGPT-Midjourney-Prompt-Generator
This turns ChatGPT into a prompt generating machine that acceps only predefined inputs and responds with only predefined outputs.
Seanny123/da-rnn
Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction
damitkwr/ESRNN-GPU
PyTorch GPU implementation of the ES-RNN model for time series forecasting
yzhao062/awesome-ensemble-learning
Ensemble learning related books, papers, videos, and toolboxes
hfawaz/cd-diagram
Critical difference diagram with Wilcoxon-Holm post-hoc analysis.
zalandoresearch/pytorch-dilated-rnn
Dilated RNNs in pytorch
SleepySoft/StockAnalysisSystem
A framework for stock data fetching, persistence and analysing
sunfanyunn/DARNN
A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction
huseinzol05/Machine-Learning-Numpy
Gathers Machine learning models using pure Numpy to cover feed-forward, RNN, CNN, clustering, MCMC, timeseries, tree-based, and so much more!
ecronic/house_shenzhen
深圳房地产市场分析及买房攻略
XiaoQQin/BERT-fine-tuning-for-twitter-sentiment-analysis