Starred repositories
Cloud ML Engine repo. Please visit the new Vertex AI samples repo at https://github.com/GoogleCloudPlatform/vertex-ai-samples
A collection of MLOps interview questions and answers for data scientists and engineers. Learn how to apply MLOps principles and practices to automate and streamline machine learning workflows.
The official code for "One Fits All: Power General Time Series Analysis by Pretrained LM (NeurIPS 2023 Spotlight)"
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Official repository of cross-modal transformer for interpretable automatic sleep stage classification. https://arxiv.org/abs/2208.06991
Official implement of "CAT: Cross Attention in Vision Transformer".
Official implementation of CrossViT. https://arxiv.org/abs/2103.14899
freeCodeCamp.org's open-source codebase and curriculum. Learn math, programming, and computer science for free.
Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)
Stable Diffusion web UI
Machine Learning (Imagenet) User Interface Demo application using Streamlit
Towards Efficient Audio-Visual Learners via Empowering Pre-trained Vision Transformers with Cross-Modal Adaptation
Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".
Pytorch implementation of Multimodal Fusion Transformer for Remote Sensing Image Classification.
Multispectral Object Detection with Yolov5 and Transformer
It contains interview preparation notes provided by iNeuron, important links, MLOps resources
🟣 MLOps interview questions and answers to help you prepare for your next machine learning and data science interview in 2025.
这是一份入门AI/LLM大模型的逐步指南，包含教程和演示代码，带你从API走进本地大模型部署和微调，代码文件会提供Kaggle或Colab在线版本，即便没有显卡也可以进行学习。项目中还开设了一个小型的代码游乐场🎡，你可以尝试在里面实验一些有意思的AI脚本。同时，包含李宏毅 (HUNG-YI LEE）2024生成式人工智能导论课程的完整中文镜像作业。
AIGC-interview/CV-interview/LLMs-interview面试问题与答案集合仓，同时包含工作和科研过程中的新想法、新问题、新资源与新项目