bryanjp3

bryanjp3's Stars

• scikit-learn/scikit-learn

  scikit-learn: machine learning in Python

  Language:Python59.3k2.1k11.1k25.2k

• open-webui/open-webui

  User-friendly WebUI for LLMs (Formerly Ollama WebUI)

  Language:Svelte37.2k1872k4.3k

• LAION-AI/Open-Assistant

  OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

  Language:Python36.9k4311.6k3.2k

• bevyengine/bevy

  A refreshingly simple data-driven game engine built in Rust

  Language:Rust34.9k2955.3k3.4k

• servo/servo

  Servo, the embeddable, independent, memory-safe, modular, parallel web rendering engine

  Language:Rust27.6k50312.5k3k

• huggingface/diffusers

  🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

  Language:Python24.9k1934k5.2k

• leptos-rs/leptos

  Build fast web applications with Rust.

  Language:Rust15.7k90935616

• borisdayma/dalle-mini

  DALL·E Mini - Generate images from a text prompt

  Language:Python14.7k1131541.2k

• mlc-ai/web-llm

  High-performance In-browser LLM Inference Engine

  Language:TypeScript12.2k113279773

• cpacker/MemGPT

  Create LLM agents with long-term memory and custom tools 📚🦙

  Language:Python11.3k1167211.2k

• nlpxucan/WizardLM

  LLMs build upon Evol Insturct: WizardLM, WizardCoder, WizardMath

  Language:Python9.2k113189711

• penrose/penrose

  Create beautiful diagrams just by typing notation in plain text.

  Language:TypeScript6.8k112753283

• spdustin/ChatGPT-AutoExpert

  🚀🧠💬 Supercharged Custom Instructions for ChatGPT (non-coding) and ChatGPT Advanced Data Analysis (coding).

  Language:JavaScript6.6k8732452

• google/prompt-to-prompt

  Language:Jupyter Notebook3k2479285

• google-research/t5x

  Language:Python2.6k36140296

• run-llama/sec-insights

  A real world full-stack application using LlamaIndex

  Language:TypeScript2.3k3365619

• andymatuschak/orbit

  Experimental spaced repetition platform for exploring ideas in memory augmentation and programmable attention

  Language:TypeScript1.7k3222952

• sail-sg/poolformer

  PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)

  Language:Python1.3k2249116

• EnzymeAD/Enzyme

  High-performance automatic differentiation of LLVM and MLIR.

  Language:LLVM1.2k30372102

• seanoliver/audioflare

  An all-in-one AI audio playground using Cloudflare AI Workers to transcribe, analyze, summarize, and translate any audio file.

  Language:TypeScript3903930

• ciphermodelabs/ciphercore

  User-friendly secure computation engine based on secure multi-party computation

  Language:Rust3731107

• kpandey008/DiffuseVAE

  Official implementation of "DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents"

  Language:Python33671130

• vidalt/HGS-CVRP

  Modern implementation of the hybrid genetic search (HGS) algorithm specialized to the capacitated vehicle routing problem (CVRP). This code also includes an additional neighborhood called SWAP*.

  Language:C++329112079

• mryechkin/nextjs-supabase-auth

  Sample project for setting up Supabase Auth in Next.js

  Language:JavaScript26910066

• PyVRP/PyVRP

  Open-source, state-of-the-art vehicle routing problem solver in an easy-to-use Python package.

  Language:Python264925444

• amanb2000/Magic_Words

  Code for the paper "What's the Magic Word? A Control Theory of LLM Prompting"

  Language:Jupyter Notebook897712

• borisdayma/vit-vqgan

  JAX implementation ViT-VQGAN

  Language:Python54200

• tumBAIS/euro-meets-neurips-2022

  Language:C++367

• kelvinsjk/mathlified

  Exploring mathematics in the digital age

  Language:TypeScript20255

• BjoernLudwigPTB/docker_pyscipopt

  Building a Docker image to run Python scripts written for PySCIPOpt 4.0.0 to solve optimization problems with SCIP. This work is heavily based on the preparations that were made by Aleksey Piskun in his repository [docker-scip](https://github.com/viktorsapozhok/docker-scip). We thank Aleksey for his thorough preparation.

  Language:Python4200