Crane-YU

Crane-YU's Stars

• meta-llama/llama

  Inference code for Llama models

  Language:Python57.1k5251.1k9.6k

• karpathy/nanoGPT

  The simplest, fastest repository for training/finetuning medium-sized GPTs.

  Language:Python38.3k3823206.2k

• chatchat-space/Langchain-Chatchat

  Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain

  Language:TypeScript32.8k2904k5.7k

• datawhalechina/pumpkin-book

  《机器学习》（西瓜书）公式详解

  24.3k622774.8k

• PromtEngineer/localGPT

  Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.

  Language:Python20.2k1695432.3k

• microsoft/LoRA

  Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

  Language:Python11.1k70108698

• aws/amazon-sagemaker-examples

  Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

  Language:Jupyter Notebook10.2k2691.4k6.8k

• timothybrooks/instruct-pix2pix

  Language:Python6.5k69129545

• harvardnlp/annotated-transformer

  An annotated implementation of the Transformer paper.

  Language:Jupyter Notebook5.9k65911.3k

• yenchenlin/nerf-pytorch

  A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

  Language:Python5.6k521181.1k

• AILab-CVC/VideoCrafter

  VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models

  Language:Python4.6k7184351

• wangshusen/DRL

  Deep Reinforcement Learning

  3.5k4255594

• hyunwoongko/transformer

  Transformer: PyTorch Implementation of "Attention Is All You Need"

  Language:Python3.2k1022456

• boyu-ai/Hands-on-RL

  https://hrl.boyuai.com/

  Language:Jupyter Notebook2.8k1795572

• kwea123/nerf_pl

  NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning

  Language:Jupyter Notebook2.8k51210482

• cybertronai/gradient-checkpointing

  Make huge neural nets fit in memory

  Language:Python2.7k8242272

• Doubiiu/DynamiCrafter

  [ECCV 2024, Oral] DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors

  Language:Python2.7k32142217

• PixArt-alpha/PixArt-sigma

  PixArt-Σ: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation

  Language:Python1.7k4012884

• guochengqian/Magic123

  [ICLR24] Official PyTorch Implementation of Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors

  Language:Jupyter Notebook1.6k545194

• hanmq/MachineLearning_Zhouzhihua_ProblemSets

  Exercises answers to the book "machine-learning" written by Zhou Zhihua。周志华《机器学习》课后习题，个人解答。各算法都拿numpy和pandas实现了一遍

  Language:Python1.5k1010446

• NVlabs/nvdiffrast

  Nvdiffrast - Modular Primitives for High-Performance Differentiable Rendering

  Language:C++1.5k26205164

• datawhalechina/machine-learning-toy-code

  《机器学习》（西瓜书）代码实战

  Language:Jupyter Notebook73151157

• dome272/VQGAN-pytorch

  Pytorch implementation of VQGAN (Taming Transformers for High-Resolution Image Synthesis) (https://arxiv.org/pdf/2012.09841.pdf)

  Language:Python47932281

• shengyu-meng/dreamfields-3D

  A colab friendly toolkit to generate 3D mesh model / video / nerf instance / multiview images of colourful 3D objects by text and image prompts input, based on dreamfields.

  Language:Python45514238

• huangyangyi/TeCH

  [3DV 2024] Official repo of "TeCH: Text-guided Reconstruction of Lifelike Clothed Humans"

  Language:Python396304225

• fengyang95/tiny_ml

  numpy 实现的 周志华《机器学习》书中的算法及其他一些传统机器学习算法

  Language:Python2265138

• ShareGPT4Omni/ShareGPT4V

  [ECCV 2024] ShareGPT4V: Improving Large Multi-modal Models with Better Captions

  Language:Python1833174

• QYHcrossover/ML-numpy

  机器学习算法numpy实现

  Language:Jupyter Notebook56108

• apachecn/apachecn-dsai-wiki

  :books: ApacheCN 数据科学和人工智能知识库

  Language:JavaScript513113

• alvin-yang68/Marching-Cubes

  Implementation of the Marching Cubes algorithm on Python.

  Language:Jupyter Notebook12127