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Showing 14 open source projects for "inter"
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MCP Apps
Official repo for spec & SDK of MCP Apps protocol
...The ecosystem emphasizes composability, meaning developers can stack, combine, or swap out apps to tailor functionality to specific use cases or industries. It also includes governance primitives so host platforms can enforce permissions, limit app capabilities, and audit inter-app communication. -
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LMCache
Supercharge Your LLM with the Fastest KV Cache Layer
...Its design supports reuse beyond strict prefix matching and enables sharing across serving instances, improving efficiency under real multi-tenant traffic. The broader project includes examples, tests, a server component, and public posts describing cross-engine sharing and inter-GPU KV transfers. These capabilities aim to lower latency, cut GPU cycles, and stabilize performance for production workloads with overlapping prompts or retrieval-augmented contexts. The end result is a cache fabric for LLMs that complements engines rather than replacing them. -
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CrewAI
Framework for orchestrating role-playing, autonomous AI agents
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks. The power of AI collaboration has too much to offer. CrewAI is designed to enable AI agents to assume roles, share goals, and operate in a cohesive unit - much like a well-oiled crew. Whether you're building a smart assistant platform, an automated customer service ensemble, or a multi-agent research team, CrewAI... -
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TorchRec
Pytorch domain library for recommendation systems
...The TorchRec sharder can shard embedding tables with different sharding strategies including data-parallel, table-wise, row-wise, table-wise-row-wise, and column-wise sharding. The TorchRec planner can automatically generate optimized sharding plans for models. Pipelined training overlaps dataloading device transfer (copy to GPU), inter-device communications (input_dist), and computation (forward, backward) for increased performance. Optimized kernels for RecSys powered by FBGEMM. Quantization support for reduced precision training and inference. Common modules for RecSys. -
Build on Google Cloud with $300 in Free CreditStart your next project with $300 in free Google Cloud credit. Spin up VMs, run containers, query exabytes in BigQuery, or build AI apps with Vertex AI and Gemini. Once your credits are used, keep building with 20+ products with free monthly usage, including Compute Engine, Cloud Storage, GKE, and Cloud Run functions. Sign up to start building right away.
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BytePS
A high performance and generic framework for distributed DNN training
...The model uses mixed precision. We use Tesla V100 32GB GPUs and set batch size equal to 64 per GPU. Each machine has 8 V100 GPUs (32GB memory) with NVLink-enabled. Machines are inter-connected with 100 Gbps RDMA network. This is the same hardware setup you can get on AWS. -
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Brains is a generic plataform to construct arbitrarily complex artificial neural networks, allowing for parallelizide computing, inter-machine communication, on-flight configuration and on-flight control.
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Face Recognition System
Face Recognition System Matlab source code
Research on automatic face recognition in images has rapidly developed into several inter-related lines, and this research has both lead to and been driven by a disparate and expanding set of commercial applications. The large number of research activities is evident in the growing number of scientific communications published on subjects related to face processing and recognition. Index Terms: face, recognition, eigenfaces, eigenvalues, eigenvectors, Karhunen-Loeve algorithm. -
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A Data Generator
A tool to generate synthetic test data useful to Record matchers
With growing amount of information from multiple sources it has become very hard to relate information to the correct real life entities. Record matching software try to solve this by machine learning techniques. To do this effectively, its necessary to train the record matcher with proper test data which is identical to real life data. Hence, there is a need for a data generator to create the synthetic data to be used for evaluating the quality and capability of record matching software.... -
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CoffeeMud For AI
CoffeeMudForAI is plaform to design AI in
...To provide a set of agents that non-technical people can play around with and get a feel for how various AI techniques work. CoffeeMudForAI goals 1. To provide a platform to study the non-robotic aspects of AI(AI Planning, inter-agent planning, muti-agent planning, Machine learning, etc.) 2. To provide a game-like platform so people coming from the game AI world can contribute to AI research. -
Run Any Workload on Compute Engine VMsCompute Engine delivers high-performance virtual machines for web apps, databases, containers, and AI workloads. Choose from general-purpose, compute-optimized, or GPU/TPU-accelerated machine types—or build custom VMs to match your exact specs. With live migration and automatic failover, your workloads stay online. New customers get $300 in free credits.
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Java framework for agent based application development
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Agent inter-platform mobility service for the well-known JADE agent platform. This service allows software agents to move from one execution platform to the next, carrying their own data and state, and resuming their execution upon arrival.
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Djangology is a web application for distributed collaborative text annotation. It consists of an admin interface for user/project/document management; an annotator interface, and an interface for error analysis and inter-annotator agreement statistics.
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A Python function library to extract EEG feature from EEG time series in standard Python and numpy data structure. Features include classical spectral analysis, entropies, fractal dimensions, DFA, inter-channel synchrony and order, etc.
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Jaybird is java-language based, source & xml & codebyte class inter-converting tool. You can write your Envolvable Code with it; You can make your computer write program itself; You can run program without compiling time; You can manage source as data
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