Search Results for "no code ai design"

...Also, learn best practices, defenses, and tools to mitigate, and detect in the real world. Learn the hacks, defenses, and tools. So that you can think like an attacker, and secure your Kubernetes, cloud, and container workloads right from the design, code, and architecture itself to prevent them. Use Kubernetes Goat to showcase the effectiveness of the tools, product, and solution. Also, educate the customers and share your product or tool knowledge in an interactive hands-on way.

Faiss is a library for efficient similarity search and clustering of dense vectors. It contains algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM. It also contains supporting code for evaluation and parameter tuning. Faiss is written in C++ with complete wrappers for Python/numpy. Some of the most useful algorithms are implemented on the GPU. It is developed by Facebook AI Research. Faiss contains several methods for similarity search. It assumes that the instances are represented as vectors and are identified by an integer, and that the vectors can be compared with L2 (Euclidean) distances or dot products. ...

OpenPAI has entered stable mode with no major feature release planned. In order to save maintenance efforts, we changed the repo to read-only mode. For collaboration, please contact repo admin directly. With the release of v1.0, OpenPAI is switching to a more robust, more powerful, and lightweight architecture. OpenPAI is also becoming more and more modular so that the platform can be easily customized and expanded to suit new needs. OpenPAI also provides many AI user-friendly features,...

...DeepCluster was one of the early successes in unsupervised visual feature learning, demonstrating that clustering-based reformulation can rival supervised baselines for many downstream tasks. The repository includes code for feature extraction, clustering, training loops, and evaluation benchmarks like linear probes. Because of its simplicity and modular design, DeepCluster has inspired many later methods.

...It focuses on automatic distribution and rebalancing, so when nodes join or leave, Swarm can move work and hand off state to keep the system stable. The library offers a global name registry, conflict resolution for name ownership, and hooks for reacting to membership changes. Its design embraces OTP principles, using supervised processes and fault-tolerant messaging to keep the registry resilient under failures. Developers can co-locate Swarm with their existing supervision trees to scale workers horizontally without writing custom clustering code. Typical use cases include globally unique workers, sharded consumers, and presence-like coordination where node churn is expected. ...

The Open Design and Integration Environment is a toolbox of C and TCL code designed to introduce people to programming in a friendly way. It is also designed to be robust enough to novices to develop useful applications.