simplemia's Stars
emilwallner/Screenshot-to-code
A neural network that transforms a design mock-up into a static website.
karpathy/convnetjs
Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.
rbgirshick/py-faster-rcnn
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
DmitryUlyanov/deep-image-prior
Image restoration with neural networks but without learning.
WenDesi/lihang_book_algorithm
致力于将李航博士《统计学习方法》一书中所有算法实现一遍
chatopera/Synonyms
:herb: 中文近义词：聊天机器人，智能问答工具包
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.
F4bwDP6a6W/FLY_US
美国大学备考资料 How to apply US colleges
anfederico/clairvoyant
Software designed to identify and monitor social/historical cues for short term stock movement
koth/kcws
Deep Learning Chinese Word Segment
kurtmckee/feedparser
Parse feeds in Python
DmitryUlyanov/Multicore-TSNE
Parallel t-SNE implementation with Python and Torch wrappers.
roomylee/awesome-relation-extraction
📖 A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP).
songgc/TF-recomm
Tensorflow-based Recommendation systems
bitcarmanlee/easy-algorithm-interview-and-practice
NourozR/Stock-Price-Prediction-LSTM
OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network
danielfrg/tsne
A python wrapper for Barnes-Hut tsne
jgreenemi/Parris
Parris, the automated infrastructure setup tool for machine learning algorithms.
accel-brain/accel-brain-code
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.
bikz05/bag-of-words
Python Implementation of Bag of Words for Image Recognition using OpenCV and sklearn
hungchun-lin/Stock-price-prediction-using-GAN
In this project, we will compare two algorithms for stock prediction. First, we will utilize the Long Short Term Memory(LSTM) network to do the Stock Market Prediction. LSTM is a powerful method that is capable of learning order dependence in sequence prediction problems. Furthermore, we will utilize Generative Adversarial Network(GAN) to make the prediction. LSTM will be used as a generator, and CNN as a discriminator. In addition, Natural Language Processing(NLP) will also be used in this project to analyze the influence of News on stock prices.
yaph/programming-languages-influence
Code to retrieve data for the programming languages influence visualizations from Freebase
krystianity/keras-serving
bring keras-models to production with tensorflow-serving and nodejs + docker :pizza:
stefan-jansen/synthetic-data-for-finance
Material for QuantUniversity talk on Sythetic Data Generation for Finance.
jizhihui/fm_python
implement fm demo with python
jackpraveenraj/Stock-Prediction-Using-Stacked-LSTM
Stock values is very valuable but extremely hard to predict correctly for any human being on their own. This project seeks to solve the problem of Stock Prices Prediction by utilizes Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict future stock values.
awentzonline/keras-vgg-buddy
A real pal when you want to add VGG16 to your Keras model.
AaronKFC/iRDPG-for-Quantitative-Trading-on-Stock-Index-Futures
ParishadBehnam/Social-Biases-in-BERT-Variants-Across-Multiple-Languages
This project analyzes to what extent cultural similarities and differences influence various types of biases, and we aim to compare different biases reflected in the pre-trained BERT model trained on each language
simplemia/DeepSpeech
A TensorFlow implementation of Baidu's DeepSpeech architecture