A TUI tool to help you type faster and learn new layouts. Includes a free cat.ngrrram ngrrram is a CLI tool to practice typing ngrams (n adjacent symbols in particular order) to improve your typing speed and/or learn new keyboard layouts effectively. Certain letter combination occur a lot more often than others, thus practicing these in particular makes sense. This type of practice is often recommended for example by Ben Vallack and Josh Kaufman, who learned Colemak in just 20 hours making str…
Pandora: Towards General World Model with Natural Language Actions and Video States Pandora: Towards General World Model with Natural Language Actions and Video States We introduce Pandora, a step towards a General World Model (GWM) that: Simulates world states by generating videos across any domains Allows any-time control with actions expressed in natural language Please refer to world-model.ai for results. [Website] [Paper] [Model] [Gallery] News [2024/05/23] Release the model a…
A slightly more fun way to disable windows defender. (through the WSC api)no-defender A slightly more fun way to disable windows defender. How it works There's a WSC (Windows Security Center) service in Windows which is used by antiviruses to let Windows know that there's some other antivirus in the hood and it should disable Windows Defender. This WSC API is undocumented and furthermore requires people to sign an NDA with Microsoft to get its documentation, so I decided to take an int…
The codes about "Uni-MoE: Scaling Unified Multimodal Models with Mixture of Experts" Uni-MoE: Scaling Unified Multimodal LLMs with Mixture of Experts If you appreciate our project, please consider giving us a star ⭐ on GitHub to stay updated with the latest developments. 🚀 Welcome to the repo of Uni-MOE! Uni-MoE is a MoE-based unified multimodal model and can handle diverse modalities including audio, speech, image, text, and video. Yunxin Li, Shenyuan Jiang, Baotian Hu, Longyue W…
Mistral-finetune mistral-finetune is a light-weight codebase that enables memory-efficient and performant finetuning of Mistral's models. It is based on LoRA, a training paradigm where most weights are frozen and only 1-2% additional weights in the form of low-rank matrix perturbations are trained. For maximum efficiency it is recommended to use a A100 or H100 GPU. The codebase is optimized for multi-GPU-single-node training setups, but for smaller models, such as the 7B a single GPU s…
Interact with your SQL database, Natural Language to SQL using LLMsDataherald monorepo Query your relational data in natural language. | | Docs | Homepage Dataherald is a natural language-to-SQL engine built for enterprise-level question answering over relational data. It allows you to set up an API from your database that can answer questions in plain English. You can use Dataherald to: Allow business users to get insights from t…
Mirror of Quilibrium git repo: ceremonyclientQuilibrium - Aurora Quilibrium is a decentralized alternative to platform as a service providers. This release, mirrored to GitHub, is the Dawn release, which contains the initial application, the MPC Powers-of-Tau Ceremony. Documentation for the underlying technology can be found at https://www.quilibrium.com/ Quick Start All commands are to be run in the node/ folder. If you have a voucher from the offline ceremony, first run: GOEXPERIMENT=arenas g…
YOLOv10: Real-Time End-to-End Object DetectionYOLOv10: Real-Time End-to-End Object Detection Official PyTorch implementation of YOLOv10. Comparisons with others in terms of latency-accuracy (left) and size-accuracy (right) trade-offs. YOLOv10: Real-Time End-to-End Object Detection. Ao Wang, Hui Chen, Lihao Liu, Kai Chen, Zijia Lin, Jungong Han, and Guiguang Ding Abstract Over the past years, YOLOs have emerged as the predominant paradigm in the field of real-time obje…
The easiest way to use Agentic RAG in any enterprise The easiest way to use Agentic RAG in any enterprise. As simple to configure as OpenAI's custom GPTs, but deployable in your own cloud infrastructure using Docker. Built using LlamaIndex. Get Started · Endpoints · Deployment · Contact Get Started To run, start a docker container with our image: docker run -p 8000:8000 ragapp/ragapp Then, access the Admin UI at http://localhost:8000/admin to configure your RAGapp. You can use …