The official repository for the paper "Deep learning for dynamic graphs: models and benchmarks" accepted at IEEE TNNLS

Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

Representation learning on dynamic graphs using self-attention networks

TGN: Temporal Graph Networks

The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.

《统计学习方法》与常见机器学习模型(GBDT/XGBoost/lightGBM/FM/FFM)的原理讲解与python和类库实现

Course Experiment of Compiler Principles(Compiler Theory) 【Visualization】.. 编译原理实验，主要包括：1. C语言词法分析（代码扫描器） 2. 用递归方法实现的Thompson算法将正则表达式转换为NFA、DFA、最小化DFA并生成对应代码 3. Tiny Parser 4. LL(1)分析器

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

Pytorch implementation of cnn network

Submission to https://pytorch.org/hub/

Code for Residual and Plain Convolutional Neural Networks for 3D Brain MRI Classification paper

使用腾讯云函数一分钟搭建 OpenAI 免翻墙代理

Code for Continual Learning of Context-dependent Processing in Neural Networks

[AAAI 2023] Official PyTorch Code for "Curriculum Temperature for Knowledge Distillation"

Pytorch implementation of various Knowledge Distillation (KD) methods.

Datasets, Transforms and Models specific to Computer Vision

Knowledge Distillation for Multi-task Learning (ECCV20 Workshops)

PyTorch Tutorial for Deep Learning Researchers

整理知识图谱相关学习资料