Curated list of ML related resources for Ruby.
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List of awesome compiler projects and papers for tensor computation and deep learning.
Benchmarking Hallucination Detection Methods in RAG Towards Data Science provides machine-learning models, research, training resources, or…
CPU and GPU-accelerated Machine Learning Library.
Deploys machine learning projects developed in Python, to Kubernetes.
Fast open framework for deep learning.
Torch-like deep learning framework for Javascript with support for tensors, autograd, optimizers, and other neural net constructs.
Interactive Hugging Face app that shares a machine-learning model, framework, demonstration or technical resource.
A PyTorch based deep learning library for drug pair scoring.
Python library for data-centric AI and machine learning with messy, real-world data and labels.
Optimization library focused on machine learning, pythonic implementations of gradient descent, LBFGS, rmsprop, adadelta and others.
CLIP Interrogator supports machine learning models, deployment, inspection, datasets, or AI development workflows.
A machine learning library for Clojure built on top of Weka and friends.
Open-source library for implementing CI/CD in machine learning projects.
Scalable Machine Learning in Scalding.
Deploy, manage, and scale machine learning models in production.
This is a fast C++/CUDA implementation of convolutional [DEEP LEARNING].
A data orchestrator for machine learning, analytics, and ETL.
Data Science at Home is a podcast about machine learning, artificial intelligence, and algorithms.
Data Skeptic is a podcast hosted by Kyle Polich, featuring interviews with experts on data science, machine learning, AI, and statistics.
Deconstructing the AI Myth: Fallacies and Harms of Algorithmification provides machine-learning models, research, training resources, or evaluation…
A fast Clojure Tensor & Deep Learning library.
DeepLearning.ai provides AI-assisted learning, courses, tutorials, or study support.
Scalable deep learning for industry with parallel GPUs.