ginko-create

ginko-create's Stars

• gaozhihan/PreDiff

  [NeurIPS 2023] Official implementation of "PreDiff: Precipitation Nowcasting with Latent Diffusion Models"

  Language:Python925

• bugsuse/radar_nowcasting

  A DEMO of weather radar nowcasting using deep learning model (SmaAt-Unet)

  Language:Python4915

• QINZHAOYU/CudaSteps

  基于《cuda编程-基础与实践》（樊哲勇 著）的cuda学习之路。

  Language:Cuda22449

• facebookresearch/detr

  End-to-End Object Detection with Transformers

  Language:Python13.4k2.4k

• thuml/predrnn-pytorch

  Official implementation for NIPS'17 paper: PredRNN: Recurrent Neural Networks for Predictive Learning Using Spatiotemporal LSTMs.

  Language:Python440111

• jingyi0000/VLM_survey

  Collection of AWESOME vision-language models for vision tasks

  2.3k204

• 52CV/CVPR-2024-Papers

  72444

• amusi/CVPR2024-Papers-with-Code

  CVPR 2024 论文和开源项目合集

  17.9k2.6k

• krahets/hello-algo

  《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing

  Language:Java96.1k12.2k

• Snailclimb/JavaGuide

  「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！

  Language:Java146k45.5k

• Asabeneh/30-Days-Of-Python

  30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

  Language:Python41.7k8k

• microsoft/generative-ai-for-beginners

  21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

  Language:Jupyter Notebook62.4k32k

• keonlee9420/DiffGAN-TTS

  PyTorch Implementation of DiffGAN-TTS: High-Fidelity and Efficient Text-to-Speech with Denoising Diffusion GANs

  Language:Python31144

• MIT-AI-Accelerator/sevir_challenges

  AI Challenges based on the SEVIR weather dataset

  Language:Jupyter Notebook3711

• MIT-AI-Accelerator/neurips-2020-sevir

  Code and model benchmarks for "SEVIR : A Storm Event Imagery Dataset for Deep Learning Applications in Radar and Satellite Meteorology"

  Language:Jupyter Notebook7921

• chengtan9907/OpenSTL

  OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning

  Language:Python732113

• rasbt/LLMs-from-scratch

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

  Language:Jupyter Notebook28.3k3.2k

• HarleyRoot/weather-data

  本可视化项目旨在通过图表、地图和动态展示，呈现**丰富而多样的气象数据，从而深入了解气象现象对不同地区的影响。通过可视化，我们将揭示**的气温分布、降水情况、风速趋势等关键数据，为观众呈现大自然的变幻莫测与秩序井然。这个项目将带领观众探索**广袤的气象景观，为我们更好地理解天气背后的故事提供一个生动而直观的视角。

  Language:HTML142

• qq456cvb/Point-Transformers

  Point Transformers

  Language:Python625103

• LlamaFamily/Llama-Chinese

  Llama中文社区，Llama3在线体验和微调模型已开放，实时汇总最新Llama3学习资料，已将所有代码更新适配Llama3，构建最好的中文Llama大模型，完全开源可商用

  Language:Python13.7k1.2k

• hpcaitech/Open-Sora

  Open-Sora: Democratizing Efficient Video Production for All

  Language:Python21.8k2.1k

• freeCodeCamp/freeCodeCamp

  freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.

  Language:TypeScript403k37.6k

• meta-llama/llama3

  The official Meta Llama 3 GitHub site

  Language:Python26.5k3k

• liguodongiot/llm-action

  本项目旨在分享大模型相关技术原理以及实战经验。

  Language:HTML9.4k920

• truebelief/artemis_treeiso

  TLS tree isolation/segmentation code

  Language:C++329

• OpenGVLab/InternGPT

  InternGPT (iGPT) is an open source demo platform where you can easily showcase your AI models. Now it supports DragGAN, ChatGPT, ImageBind, multimodal chat like GPT-4, SAM, interactive image editing, etc. Try it at igpt.opengvlab.com (支持DragGAN、ChatGPT、ImageBind、SAM的在线Demo系统)

  Language:Python3.2k231

• coderonion/awesome-llm-and-aigc

  🚀🚀🚀A collection of some awesome public projects about Large Language Model, Vision Foundation Model and AI Generated Content.

  51649

• mlabonne/llm-course

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

  Language:Jupyter Notebook37.8k4k

• philwilkes/TLS2trees

  Language:Python6120

• ecker-lab/TreeLearn

  Language:Python409