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.
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Python Sorted Container Types: Sorted List, Sorted Dict, and Sorted Set
- python
- sorted
- list
- dict
A curated list of data mining papers about fraud detection.
- fraud-detection
- fraud-prevention
- fraud-checker
- fraud-management
A selection of state-of-the-art research materials on trajectory prediction
- trajectory-prediction
- trajectory-generation
- social-interactions
- behavior-prediction
The bidirectional mapping library for Python.
- python
- bidict
- bimap
- data-structures
Human Pose Estimation Related Publication
- 3d-human-pose
- 2d-human-pose
- human-pose-estimation
- video-pose-estimation
A complete, fully tested and documented data structure library written in pure JavaScript.
- javascript
- data-structures
- collections
- collection
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
- seq2seq
- tensorflow
- tensorflow-tutorials
- python
Train and Deploy an ML REST API to predict crypto prices, in 10 steps
This is the code for "Bitcoin Prediction" by Siraj Raval on Youtube
The example of running Depth Prediction using Core ML
- depth-prediction
- swift
- fcrn-depthprediction
- coreml
GenVue is a hostable, web application that lets confidential users upload and share private files. Tech stack: Net Core 2.0 + Vue.js + Vuex + OpenIddict + Vuetifyjs + EF + SQLServer/Postgress
- vue
- vuejs2
- netcore2
- netcore
Infrastructure-as-code toolkit (Docker Compose, Kubernetes, Terraform) for deploying containerized services, using the predictive-cicd-remediation project as the reference workload.
Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022)
- ddi
- drug-synergy
- synergy-prediction
- deep-chemistry
A common lisp library to unify access to common dictionary-like data-structures
nengi+babylon template of a 3d shooter with client-side prediction and lag compensation
🌅 iOS11 demo application for visual sentiment prediction.
- ios
- swift
- swift4
- vision
🏷 iOS11 demo application for predicting gender from first names.
- ios
- swift
- swift4
- coreml
Stock price prediction using a deterministic algorithm inspired by LSTM, focusing on pattern recognition in historical data.
Comparing the performance of Stacked Ensemble Learning & machine learning algorithms like Random Forest, Decision Tree, Adaboost, Gradient Boost and XGBoost Classifier in Python for Stock Market Trend Prediction.