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18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
A collection of various deep learning architectures, models, and tips
llama3 implementation one matrix multiplication at a time
An adversarial example library for constructing attacks, building defenses, and benchmarking both
Pytorch🍊🍉 is delicious, just eat it! 😋😋
links to conference publications in graph-based deep learning
A better notebook for Scala (and more)
Acceptance rates for the major AI conferences
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可
🙄 Difficult algorithm, Simple code.
Training LLMs with QLoRA + FSDP
A Toolbox for Adversarial Robustness Research
Convert any text to a graph of knowledge. This can be used for Graph Augmented Generation or Knowledge Graph based QnA
Data Augmentation For Object Detection
Pytorch Geometric Tutorials
From scratch implementation of a sparse mixture of experts language model inspired by Andrej Karpathy's makemore :)
Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks.
Setup PyTorch on Mac/Apple Silicon plus a few benchmarks.
The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"
A customer segmentation project can be approached in multiple ways. In this repository, we will explore advanced techniques for defining clusters and analyzing the results.
GEOM: Energy-annotated molecular conformations
PhD/MSc course on Machine Learning Security (Univ. Cagliari)
LoRA and DoRA from Scratch Implementations
[ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization