metamath1

metamath1's Stars

• nomic-ai/gpt4all

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

  Language:C++69.7k6401.9k7.6k

• mlabonne/llm-course

  Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

  Language:Jupyter Notebook37.7k395674k

• hiyouga/LLaMA-Factory

  Efficiently Fine-Tune 100+ LLMs in WebUI (ACL 2024)

  Language:Python31.8k2034.9k3.9k

• rasbt/LLMs-from-scratch

  Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

  Language:Jupyter Notebook28k301893.2k

• meta-llama/llama3

  The official Meta Llama 3 GitHub site

  Language:Python26.4k2182433k

• roboflow/supervision

  We write your reusable computer vision tools. 💜

  Language:Python22.7k1564151.7k

• CompVis/latent-diffusion

  High-Resolution Image Synthesis with Latent Diffusion Models

  Language:Jupyter Notebook11.6k973421.5k

• roboflow/notebooks

  Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.

  Language:Jupyter Notebook5.3k78134814

• 1rgs/jsonformer

  A Bulletproof Way to Generate Structured JSON from Language Models

  Language:Jupyter Notebook4.4k2442153

• openai/improved-diffusion

  Release for Improved Denoising Diffusion Probabilistic Models

  Language:Python3.2k123133480

• crowsonkb/k-diffusion

  Karras et al. (2022) diffusion models for PyTorch

  Language:Python2.3k4365373

• teddylee777/langchain-kr

  LangChain 공식 Document, Cookbook, 그 밖의 실용 예제를 바탕으로 작성한 한국어 튜토리얼입니다. 본 튜토리얼을 통해 LangChain을 더 쉽고 효과적으로 사용하는 방법을 배울 수 있습니다.

  Language:Jupyter Notebook1k294248

• kakaobrain/kogpt

  KakaoBrain KoGPT (Korean Generative Pre-trained Transformer)

  Language:Python1k1817139

• daipeihust/im-select

  📟 Switch your input method through terminal

  Language:C++976105675

• Sohl-Dickstein/Diffusion-Probabilistic-Models

  Reference implementation for Deep Unsupervised Learning using Nonequilibrium Thermodynamics

  Language:Python44010269

• Ryota-Kawamura/Generative-AI-with-LLMs

  In Generative AI with Large Language Models (LLMs), you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications.

  Language:Jupyter Notebook43561352

• sophiamyang/tutorials-LangChain

  Language:Jupyter Notebook385122172

• bhpfelix/Variational-Autoencoder-PyTorch

  Variational Autoencoder implemented with PyTorch, Trained over CelebA Dataset

  Language:Python1644451

• Ryota-Kawamura/How-Diffusion-Models-Work

  In How Diffusion Models Work, you will gain a deep familiarity with the diffusion process and the models which carry it out. More than simply pulling in a pre-built model or using an API, this course will teach you to build a diffusion model from scratch.

  Language:Jupyter Notebook1164276

• cccntu/fine-tune-models

  Language:Jupyter Notebook1053512

• kh-kim/arxiv-translator

  Language:HTML1025120

• choijhyeok/easy_finetuner

  Language:Jupyter Notebook55204

• nekocode/codelabs-hugo-theme

  A hugo theme for building codelabs website.

  Language:JavaScript244212

• Doheon/TimeSeriesForecast-Transformer

  Language:Jupyter Notebook133

• moshesipper/vae-torch-celeba

  A Variational Autoencoder in PyTorch for the CelebA Dataset.

  Language:Python12202

• sjchoi86/yet-another-gpt-tutorial-v2

  Language:Jupyter Notebook10201

• gradio-app/hub-sketch-recognition

  Language:Python9504

• Doheon/TimeSeriesForecast-LSTM

  Language:Jupyter Notebook53

• JLake310/pytorch-kogpt2-example

  Example for kogpt2 fine-tuning & generation

  Language:Python3101

• Doheon/TimeSeriesForecast-ARIMA

  Language:Jupyter Notebook11