By Daniel Demmler, Thomas Schneider and Michael Zohner (ENCRYPTO, TU Darmstadt) in Network and Distributed System Security Symposium (NDSS'15). --- ABY efficiently combines secure computation schemes based on Arithmetic sharing, Boolean sharing, and Yao’s garbled circuits and makes available best-practice solutions in secure two-party computation.
A Go program with no human provided knowledge. Using MCTS (but without Monte Carlo playouts) and a deep residual convolutional neural network stack.
LBRYcrd uses a blockchain similar to bitcoin's to implement an index and payment system for content on the LBRY network. In addition to the libraries used by bitcoin, LBRYcrd also uses icu4c.
This is a port of BlinkDL/RWKV-LM to ggerganov/ggml. Besides the usual FP32, it supports FP16, quantized INT4, INT5 and INT8 inference.
React Native binding of llama.cpp - LLM inference in C/C++ Key Features: llama.rn downloads the pre-built ios/rnllama.xcframework and android/src/main/jniLibs from the matching GitHub release during postinstall. Existing downloads are reused, and each archive is verified with SHA-256 before extraction.
% log4cplus README Short Description ================= [log4cplus] is a simple to use C++23 logging API providing thread--safe, flexible, and arbitrarily granular control over log management and configuration. [log4cplus]: https://github.com/log4cplus/log4cplus Latest Project Information ========================== The latest up-to-date information for this project can be found on the [GitHub][13] project page or the [log4cplus wiki][4].
PowerInfer is a CPU/GPU LLM inference engine leveraging activation locality for your device. Project Kanban https://github.com/SJTU-IPADS/PowerInfer/assets/34213478/fe441a42-5fce-448b-a3e5-ea4abb43ba23 PowerInfer v.s.
A research and development fork of llama.cpp, providing unique KV cache codecs, inference techniques, and bleeding edge features. Why pay 3-bit or 4-bit quality for a context length you only sometimes reach?
audio.cpp is a high-performance C++ audio inference framework built on top of ggml, designed to make modern local audio models practical, portable, and fast. Tired of juggling a dozen Conda environments, hundreds of Python packages, and dependency conflicts just to try a few audio models?
A curated list of Microservice Architecture related principles and technologies. Table of Contents Please, read the Contribution Guidelines before submitting your suggestion.
By Daniel Demmler, Thomas Schneider and Michael Zohner (ENCRYPTO, TU Darmstadt) in Network and Distributed System Security Symposium (NDSS'15). --- ABY efficiently combines secure computation schemes based on Arithmetic sharing, Boolean sharing, and Yao’s garbled circuits and makes available best-practice solutions in secure two-party computation.
A Go program with no human provided knowledge. Using MCTS (but without Monte Carlo playouts) and a deep residual convolutional neural network stack.
LBRYcrd uses a blockchain similar to bitcoin's to implement an index and payment system for content on the LBRY network. In addition to the libraries used by bitcoin, LBRYcrd also uses icu4c.
This is a port of BlinkDL/RWKV-LM to ggerganov/ggml. Besides the usual FP32, it supports FP16, quantized INT4, INT5 and INT8 inference.
React Native binding of llama.cpp - LLM inference in C/C++ Key Features: llama.rn downloads the pre-built ios/rnllama.xcframework and android/src/main/jniLibs from the matching GitHub release during postinstall. Existing downloads are reused, and each archive is verified with SHA-256 before extraction.
% log4cplus README Short Description ================= [log4cplus] is a simple to use C++23 logging API providing thread--safe, flexible, and arbitrarily granular control over log management and configuration. [log4cplus]: https://github.com/log4cplus/log4cplus Latest Project Information ========================== The latest up-to-date information for this project can be found on the [GitHub][13] project page or the [log4cplus wiki][4].
PowerInfer is a CPU/GPU LLM inference engine leveraging activation locality for your device. Project Kanban https://github.com/SJTU-IPADS/PowerInfer/assets/34213478/fe441a42-5fce-448b-a3e5-ea4abb43ba23 PowerInfer v.s.
A research and development fork of llama.cpp, providing unique KV cache codecs, inference techniques, and bleeding edge features. Why pay 3-bit or 4-bit quality for a context length you only sometimes reach?
audio.cpp is a high-performance C++ audio inference framework built on top of ggml, designed to make modern local audio models practical, portable, and fast. Tired of juggling a dozen Conda environments, hundreds of Python packages, and dependency conflicts just to try a few audio models?
A curated list of Microservice Architecture related principles and technologies. Table of Contents Please, read the Contribution Guidelines before submitting your suggestion.