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Aarhus University
- Denmark
-
16:39
(UTC +01:00) - https://zeyus.com
- @zeyus
- @[email protected]
- https://soundcloud.com/zeyus
- https://www.youtube.com/zeyusdotcom
Highlights
Stars
Empowering everyone to host fast and efficient Minecraft servers.
Waydroid uses a container-based approach to boot a full Android system on a regular GNU/Linux system like Ubuntu.
An open-source audio wake word (or phrase) detection framework with a focus on performance and simplicity.
HA integration for the Dukaone S6W ventilation heat exchanger
A simple and flexible code for Reservoir Computing architectures like Echo State Networks
SponsorBlock integration for podcasts
GPU Approximate Bayesian Computation written in cuda/python3 via pycuda
⛷️ LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-training (EMNLP 2024)
High-speed Large Language Model Serving on PCs with Consumer-grade GPUs
Teaching materials for BayesCog at Faculty of Psychology, University of Vienna
A TizenBrew module to remove ads and add support for SponsorBlock for your Tizen TV.
Official inference library for Mistral models
Manuel030 / llama2.c-android
Forked from karpathy/llama2.cInference Llama 2 in one file of pure C
Podverse mobile app written in React Native for iOS, Android, and F-Droid
This is a small script to launch the webcam settings dialog from Windows directly.
The MoCap Toolbox is a Matlab® toolbox that contains functions for the analysis and visualization of motion capture data.
LostRuins / koboldcpp
Forked from ggerganov/llama.cppRun GGUF models easily with a KoboldAI UI. One File. Zero Install.
Lightweight inference library for ONNX files, written in C++. It can run Stable Diffusion XL 1.0 on a RPI Zero 2 (or in 298MB of RAM) but also Mistral 7B on desktops and servers. ARM, x86, WASM, RI…
GPU-accelerated Dynamic Time Warp (DTW) Barycenter Averaging
Fast CUDA implementation of (differentiable) soft dynamic time warping for PyTorch
Framework agnostic python runtime for RWKV models
Running large language models on a single GPU for throughput-oriented scenarios.