MackenzieMen
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Road Network Enhanced Trajectory Recovery with Spatial-Temporal Transformer (ICDE'23)
Meta-Learning Sparse Implicit Neural Representations (NeurIPS 2021)
Official PyTorch implementation of "Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning" (ICCV2021 Oral)
Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)
The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"
A re-implementation of "Prototypical Networks for Few-shot Learning"
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
My notes and assignment solutions for Stanford CS330 (Fall 2019 & 2020) Deep Multi-Task and Meta Learning
Quickly bring up your PyTorch project(a skeleton)
A simple deep learning framework in pure python for purpose of learning in DL
PaddleSpatial is an open-source spatial-temporal computing tool based on PaddlePaddle.
A course to build the SQL layer of a distributed database.
The study & production material for https://www.youtube.com/watch?v=Pc8DfEyAxzg
Introduction to Parallel Programming class code
C++ Parallel Computing and Asynchronous Networking Framework
the resources I use to learn computer science in my spare time