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A data visualization and analytics component, especially well-suited for large and/or streaming datasets.
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.
Automatically visualize your pandas dataframe via a single print! 📊 💡
- visualization-tools
- jupyter
- python
- data-science
Automatically generates beautiful and easy-to-read ER diagrams from your database.
- data-visualization
- database
- database-schema
- documentation
Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL locally in your favorite IDE, then scale to Deepnote cloud for real-time collaboration, Deepnote agent, and deployable data apps. https://deepnote.com/
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
- visualization
- python3
- python
- xgboost
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).
- aifinance
- fintech
- llama
- machine-learning
Charting library for Android applications. Automatically exported from code.google.com/p/achartengine
A set of useful perceptually uniform colormaps for plotting scientific data
- holoviz
- colorcet
- colormaps
- matplotlib
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
- deep-learning
- protein-sequences
- protein-structure
- semi-supervised-learning
Solve captcha without manually labeling a training set
- keras
- gan
- neural-network
- generative-adversarial-network
A simple extension for Jupyter Notebook and Jupyter Lab to beautify Python code automatically using black.
- black-formatter
- black-beautifier
- black
- jupyterlab-extension
Read and write Neuroglancer datasets programmatically.
- neuroglancer
- volumetric-data
- python
- cloud
NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for providing continuous calculation.
- feature-engineering
- machine-learning
- feature
- features
Automatically version jupyter notebooks in JupyterLab
NeuroAnatomy Toolbox: An R package for the (3D) visualisation and analysis of biological image data, especially tracings of single neurons.
- r
- neuroanatomy-toolbox
- cran
- neuron
Deciphering cell-cell communication from spatially resolved transcriptomic data at single-cell resolution with subgraph-based attentional graph neural network
Visually build MQTT-driven apps and dashboards
- dashboard
- wysiwyg
- web-components
- mqtt
Brain Computer Interface to drive car using brain.
A general-purpose data analysis engine radically changing the way batch and stream data is processed
Conflict-free merge for DataFrames, JSON, ML models & distributed agents — powered by CRDTs. The first merge library where every operation is mathematically guaranteed to converge.
- collaborative-editing
- conflict-resolution
- crdt
- data-engineering