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Code repository for The Automation Ahead series, showcasing practical examples for GenAI-driven automation in investments. Each installment dives into specific tools, techniques, and use cases to help professionals assess and apply GenAI effectively.
A group of neural-network libraries for functional and mainstream languages
📚 🤓 - Awesome Javascript Books
Learn Lisp efficiently and become a happy programmer.
Unsupervised Image to Image Translation with Generative Adversarial Networks
Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.
Ruby Scoring API for PMML
👩💻 Matrix and other math, accelerated by WebGPU and WASM
A Simple Example for Imitation Learning with Dataset Aggregation (DAGGER) on Torcs Env
Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders
A smart picker for Snacks.nvim that trains a neural network with your file picking preferences.
Docker image gathering packers and tools for making datasets of packed executables and training machine learning models for packing detection
InsNet Runs Instance-dependent Neural Networks with Padding-free Dynamic Batching.
Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications
Machine Learning in Clojure
Learn how to make homemade mozzarella
Machine Learning & Data Mining with JRuby
Integrate with the latest language models, image generation, speech, and deep learning frameworks like ChatGPT, DALL·E, and Cohere using few java lines.
A collection of machine-learned models for use in autonomous driving applications.
▶️ An awesome list of awesome Brazilian YouTubers that teach about technology. Tutorials about web development, computer science, machine learning, game development, cybersecurity, and more.
Ruby wrapper for the Qdrant vector search database API
ML5 Machine Learning For Blazor with JSInterop mechanism
C# math expression library with symbolic computation support
Personalized machine learning on the smartphone