Lists (2)
Stars
A comprehensive collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems. Use when building, optimizing, or debugging agent systems that require e…
Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.
NeMo Retriever Library is a scalable, performance-oriented document content and metadata extraction microservice. NeMo Retriever Library uses specialized NVIDIA NIM microservices to find, contextua…
LLM-Driven Extraction of Unstructured Data — Built for API Deployments & ETL Pipeline Workflows
Get your documents ready for gen AI
Python dependency injection framework, inspired by Guice
A curated list of Large Language Model resources, covering model training, serving, fine-tuning, and building LLM applications.
A curated and opinionated list of resources for Chief Technology Officers, with the emphasis on startups
mosaraza / CTO-Playbook
Forked from kuchin/awesome-ctoA curated and opinionated list of resources for Chief Technology Officers, with the emphasis on startups
A curated list of data oriented design resources.
A Julia package for Support Vector Data Description.
Generate Diverse Counterfactual Explanations for any machine learning model.
Pytorch implementation of convolutional neural network visualization techniques
PyTorch, TensorFlow, JAX and NumPy — all of them natively using the same code
A game theoretic approach to explain the output of any machine learning model.
Model interpretability and understanding for PyTorch
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Toolbox for anomaly detection.
A Julia package for One-Class Active Learning.
Fast Incremental Support Vector Data Description implemented in Python
R API to Java Data Mining Framework ELKI (https://elki-project.github.io/)
📄 Awesome CV is LaTeX template for your outstanding job application
One-class classification in the absence of test data.