thefoolgy Goto Github PK

annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

brpr

cs121

cs136-23s-assignments

Public-facing repo for materials like starter-code and in-class demos for students in CS136 at Tufts

cs61a

cs61b

curlconverter

convert curl commands to Python, JavaScript, Go, PHP, R, Dart, Java, MATLAB, Rust, Elixir and more

eat_pytorch_in_20_days

Pytorch🍊🍉 is delicious, just eat it! 😋😋

fairness-generalization

gnn-som

Site-of-Metabolsim prediction using Graph Neural Networks.

gnnpapers

Must-read papers on graph neural networks (GNN)

graph-generation-edge

EDGE: Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling

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 Java, C++, Python, Go, JS, TS, C#, Swift, Rust, Dart, Zig 等语言。

kaggle

prepare for kaggle

lab9

llama3-from-scratch

llama3 implementation one matrix multiplication at a time

mac

PyTorch implementation for "Training and Inference on Any-Order Autoregressive Models the Right Way"

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

must-read-papers-and-continuous-tracking-on-graph-neural-network-gnn-progress

Papers on Graph neural network(GNN)

nlp-beginner

NLP上手教程

per_brenda

proximal2

PROXIMAL2 algorithm

pytorch_tutorial

《Pytorch模型训练实用教程》中配套代码

regularized-adaptive-weight-modification

Continual Learning Method RAWM for ICML 2023

thefoolgy.github.io