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Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook
A framework for Claude Opus to intelligently orchestrate subagents.
A high-throughput and memory-efficient inference and serving engine for LLMs
Access all of your favourite iCloud apps from Linux
This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.
The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
Mora: More like Sora for Generalist Video Generation
Open-source Pricing and Billing Infrastructure 🚀 Subscription management, Invoicing, Pricing, Usage-based billing, Cost limiting, Grandfathering, Experiments, Revenue analytics & Actionable insights
Lean and mean distributed stream processing system written in rust and web assembly.
Unify Efficient Fine-Tuning of 100+ LLMs
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
JetStream is a throughput and memory optimized engine for LLM inference on XLA devices, starting with TPUs (and GPUs in future -- PRs welcome).
This project aim to reproduce Sora (Open AI T2V model), we wish the open source community contribute to this project.
Perplexica is an AI-powered search engine. It is an Open source alternative to Perplexity AI
Devika is an Agentic AI Software Engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective…
An efficient, flexible and full-featured toolkit for fine-tuning LLM (InternLM2, Llama3, Phi3, Qwen, Mistral, ...)
Deterministic LLMs Outputs for AI Applications and AI Agents
A super fast Graph Database uses GraphBLAS under the hood for its sparse adjacency matrix graph representation. Our goal is to provide the best Knowledge Graph for LLM (GraphRAG).
Embeddable property graph database management system built for query speed and scalability. Implements Cypher.
A compute framework for turning complex data into vectors. Build multimodal vectors with ease and define weights at query time so you don't need a custom reranking algorithm to optimise results. Go…
The simplest way to serve AI/ML models in production
🤗 LeRobot: End-to-end Learning for Real-World Robotics in Pytorch