Kallenhard1

Kallenhard1's Stars

• nomic-ai/gpt4all

  GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

  Language:C++71.6k6472k7.8k

• rust-unofficial/awesome-rust

  A curated list of Rust code and resources.

  Language:Rust48.1k8211362.8k

• ethereum/go-ethereum

  Go implementation of the Ethereum protocol

  Language:Go48.1k2.2k8.2k20.4k

• OpenBMB/ChatDev

  Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)

  Language:Python26.1k3152663.3k

• graphdeco-inria/gaussian-splatting

  Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

  Language:Python15.4k1201.1k2k

• AI4Finance-Foundation/FinGPT

  FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.

  Language:Jupyter Notebook14.6k2641052k

• hoffstadt/DearPyGui

  Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies

  Language:C++13.6k1591.4k700

• cpacker/MemGPT

  Letta (fka MemGPT) is a framework for creating stateful LLM services.

  Language:Python12.1k1167821.3k

• ashawkey/stable-dreamfusion

  Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.

  Language:Python8.4k129301740

• mit-han-lab/streaming-llm

  [ICLR 2024] Efficient Streaming Language Models with Attention Sinks

  Language:Python6.7k6684373

• threestudio-project/threestudio

  A unified framework for 3D content generation.

  Language:Jupyter Notebook6.5k77337491

• google/gemma_pytorch

  The official PyTorch implementation of Google's Gemma models

  Language:Python5.3k3942516

• dreamgaussian/dreamgaussian

  [ICLR 2024 Oral] Generative Gaussian Splatting for Efficient 3D Content Creation

  Language:Python4k44158361

• nautechsystems/nautilus_trader

  A high-performance algorithmic trading platform and event-driven backtester

  Language:Python2.5k72589542

• zanfranceschi/rinha-de-backend-2023-q3

  Rinha de Backend - Edição 2023 Q3

  Language:HTML1.7k2912297

• NVlabs/nvdiffrast

  Nvdiffrast - Modular Primitives for High-Performance Differentiable Rendering

  Language:C++1.5k27205164

• graphdeco-inria/diff-gaussian-rasterization

  Language:Cuda9781254295

• younader/Vesuvius-Grandprize-Winner

  Language:Python59412240

• phonegapX/QuantBot

  数字货币量化交易学习框架

  Language:Go437238155

• lukeboi/scroll-first-letters

  Language:Python2863017

• heroku/php-getting-started

  Getting Started with PHP on Heroku.

  Language:HTML1949113779

• younader/Vesuvius-First-Letters

  Language:Python1335220

• schillij95/ThaumatoAnakalyptor

  Automatic Scroll Segmentation Pipline for CT Scans of Herculaneum papyri

  Language:Python7941616

• anthdm/crypto-exchange

  Build a crypto-exchange from scratch series

  Language:Go746123

• lukeboi/scroll-viewer

  Language:JavaScript52267

• erdpx/vesuvius-grand-prize

  Vesuvius Challenge: code for the second-place winner of the Grand Prize

  Language:Python32102

• smodin-io/fast-text-language-detection

  Language:JavaScript29064

• SQMah/Vesuvius-Grand-Prize-Submission

  We just want to read the scrolls!!

  Language:Python21113

• visionary-3d/raytracing-bloom-video

  Language:TypeScript11111

• samy-ghebache/Ask-Me

  Ask Me empowers you to effortlessly extract knowledge from PDFs and articles. Share a PDF file 📄 or provide a URL link 🔗 to an article, ask your question ❓, and let our AI models fetch you accurate answers. 🚀

  Language:Python8203