oneAPI Data Analytics Library (oneDAL)
- onedal
- data-analysis
- oneapi
- machine-learning
Repository Index
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xlsx generation with charts, images, automated column width, customizable styles and full schema validation. Axlsx excels at helping you generate beautiful Office Open XML Spreadsheet documents without having to understand the entire ECMA specification. Check out the README for some examples of how easy it is. Best of all, you can validate your xlsx file before serialization so you know for sure that anything generated is going to load on your client's machine.
- ruby
- ruby-gem
- excel-export
- excelwriter
🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations
- graph
- high-performance
- machine-learning
- knowledge-graph
An OpenJDK release maintained and supported by SAP
- openjdk
- java
- open-source
- jdk
Unofficial static recompilation of the Xbox 360 version of Need for Speed: Most Wanted (2005): a native port for Steam Deck, Steam Machine, Steam Frame, Linux and Mac (iPhone/iPad: sideload the experimental IPA or build it yourself). Bring your own disc: no game files included. Not affiliated with EA or Valve.
Build fully-functioning computer vision models with PyTorch
Modular file scanning/analysis framework
- python
- analytic-machines
- analysis-framework
- python-script
Fast manager for Go-installed binaries in $GOBIN: update, export/import, and migrate toolsets across machines
- golang
- golang-tools
- updater
- command-line-tool
A series of machine learning tutorials for Torch7
DiffSharp: Differentiable Functional Programming
- machine-learning
- tensor
- dotnet
- autodiff
Module for statistical learning, with a particular emphasis on time-dependent modelling
- machine-learning
- python
- point-process
- optimization
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.
- pipeline
- pipeline-framework
- machine-learning
- deep-learning
Sharing Updatable Models (SUM) on Blockchain
- blockchain
- ml
- ai
- economics
K Semantics of the Ethereum Virtual Machine (EVM)
food image to recipe with deep convolutional neural networks.
- convolutional-neural-networks
- keras
- chef
- deep-learning
Describe any machine in one line. Claude builds a photoreal, physics based, interactive simulation of it in one HTML file, plus the film to post it. An open source Claude Code skill.
- agent-skills
- claude
- claude-code
- claude-skill
QKeras: a quantization deep learning library for Tensorflow Keras
- deep-learning
- quantization
- quantized-neural-networks
- hardware-acceleration
🎯 A comprehensive gradient-free optimization framework written in Python
- metaheuristics
- optimization
- optimization-algorithms
- python
Language model search engine built on a vector database and an anything key/value store.
- information-retrieval
- search-engine
- vector-space-model
- machine-learning
Use PHP Attributes to declare your GraphQL API
Mostly experiments based on "Advances in financial machine learning" book
We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.
- tabular-data
- gans
- train-dataframe
- adversarial-filtering
Elixir State machine thin layer for structs
- machinery
- state-machine
- phoenix
- elixir
Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022
- coursework
- fraud-detection
- introduction-to-machine-learning
- machine-learning