8000 donglinkang2021 (Linkang Dong) · GitHub
[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
Skip to content
View donglinkang2021's full-sized avatar
🎯
yeahyeahyeah🏃‍♂️🏃‍♂️🏃‍♂️~
🎯
yeahyeahyeah🏃‍♂️🏃‍♂️🏃‍♂️~

Highlights

  • Pro

Block or report donglinkang2021

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
donglinkang2021/README.md

👋 Hi! I'm Linkang Dong(董林康)

Undergraduate from Beijing Institute of Technology, major in CS, ⏱️ 2021/08 ~ Now.

  • 🤗 I’m interested in RL4LLM and Embodied AI currently.
  • 🚀 I love simple, general and minimal->deep models, learning on large dataset, and building interesting APP.
  • 🌱 I’m currently reading Ilya-30u30 list.
  • ✨ Hobbies: 🏀 🏸🏓 🏐 🏊‍♂️🥏🏋️‍♂️🎿🥋🎱🥊 🎸🎹 🎞 🎮

Pinned Loading

  1. MinVQVAE MinVQVAE Public

    Minimal Discrete Variational Autoencoder (VQ-VAE) implementation in PyTorch, train, eval and test on Cifar10, CelebA, and ImageNet ILSVRC2012, get good result.

    Jupyter Notebook 8

  2. wandb-hydra-lightning-demo wandb-hydra-lightning-demo Public

    A simple example of how to use WandB, Hydra and PyTorch Lightning together.

    Python 2

  3. SimpleAttention SimpleAttention Public

    Use attention mechanism to apply on some simple task like regression and classification, hope to grasp some intuitions.

    Jupyter Notebook

  4. annotatedtransformer annotatedtransformer Public

    My learning record of the Annotated Transformer.

    Jupyter Notebook

  5. kmeans_torch kmeans_torch Public

    Minimal, readable, simple code for k-means algorithm in Pytorch.

    Jupyter Notebook

  6. SimpleMLP SimpleMLP Public

    Just use simple MLP to regress or classify.

    Python

0