A list of awesome selected resources towards the application of machine learning in Biomedical/Healthcare Imaging, inspired by
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NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions
- computational-biology
- bioinformatics
- graph-convolution
- deep-learning
A small machine learning library written in Lisp (Clojure) aimed at providing simple, concise implementations of machine learning techniques and utilities.
- machine-learning
- lisp
- clojure
PyTorch implementation of the MIDAS algorithm for single-cell multimodal data integration (Nature Biotechnology 2024).
- deep-generative-model
- deep-learning
- single-cell-data-integration
- single-cell-multiomics
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.
- data-science
- deep-learning
- finance
- financial-data
A group of neural-network libraries for functional and mainstream languages
- neural-network
- machine-learning
- functional-programming
- javascript
📚 🤓 - Awesome Javascript Books
Unsupervised Image to Image Translation with Generative Adversarial Networks
- tensorflow
- tensorlayer
- deep-learning
- image-to-image
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.
- svm
- regression
- classification
- machine-learning
Ruby Scoring API for PMML
- ruby-gem
- pmml
- random-forest
- classification
👩💻 Matrix and other math, accelerated by WebGPU and WASM
A Simple Example for Imitation Learning with Dataset Aggregation (DAGGER) on Torcs Env
- tensorlayer
- dagger
- gym-torcs
- imitation-learning
Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders
- epigenomics
- pattern-search
- data-visualization
- interactive-machine-learning
A smart picker for Snacks.nvim that trains a neural network with your file picking preferences.
InsNet Runs Instance-dependent Neural Networks with Padding-free Dynamic Batching.
- deep-learning-library
- dynamic-batching
- nlp
Docker image gathering packers and tools for making datasets of packed executables and training machine learning models for packing detection
- docker-image
- executable-packing
- malware-packers
- research-platform
Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications
- cell-annotation
- multiplexed-imaging
- mpif
Machine Learning in Clojure
Machine Learning & Data Mining with JRuby
- machine-learning
- ruby
- jruby
- weka
Integrate with the latest language models, image generation, speech, and deep learning frameworks like ChatGPT, DALL·E, and Cohere using few java lines.
- openai
- gpt3
- dalle2
- image-generation
A collection of machine-learned models for use in autonomous driving applications.
- model-zoo
- autoware
- machine-learning
- autonomous-driving
Ruby wrapper for the Qdrant vector search database API
- api-client
- qdrant
- ruby
- vector-search
▶️ An awesome list of awesome Brazilian YouTubers that teach about technology. Tutorials about web development, computer science, machine learning, game development, cybersecurity, and more.
ML5 Machine Learning For Blazor with JSInterop mechanism