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The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
A programming framework for agentic AI 🤖 PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting…
Natural Language Processing Tutorial for Deep Learning Researchers
Neural Networks: Zero to Hero
AISystem 主要是指AI系统，包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
MiniCPM3-4B: An edge-side LLM that surpasses GPT-3.5-Turbo.
Understanding Deep Learning - Simon J.D. Prince
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Code Repository for Machine Learning with PyTorch and Scikit-Learn
Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research
手把手带你实战 Huggingface Transformers 课程视频同步更新在B站与YouTube
Machine learning for transportation data imputation and prediction.
Attention is all you need implementation
范仁义录播课资料，会依次推出各种完全免费的前端、后端、大数据、人工智能等课程，课程网站： https://fanrenyi.com ； b站课程地址： https://space.bilibili.com/45664489 ；
A list of open geospatial datasets available on AWS, Earth Engine, Planetary Computer, NASA CMR, and STAC Index
Tutorial of geospatial data processing using python 用python分析时空数据的教程(in Chinese and English )
Codes to complement YouTube videos and blog posts on Medium.
Introduction to Geospatial Data with Python
Evaluating LLMs' multi-round chatting capability via assessing conversations generated by two LLM instances.
Semantic Kernel's cook book
In this tutorial, you will learn the fundamentals of how you can build neural networks without the help of the deep learning frameworks, and instead by using NumPy.