mathewshen

4 ms·

1. 1.▲
   by mathewshen 1y ago

   Agree and that's why I create https://github.com/ai-glimpse
2. 2.▲
   ToyRL: A tiny library that implement classic deep reinforce learning algorithm(github.com)

   3 points by mathewshen 1y ago|0 comments
3. 3.▲
   Implementing LLM Speculative Sampling in Under 100 Lines of Code(datahonor.com)

   1 points by mathewshen 2y ago|0 comments
4. 4.▲
   by mathewshen 2y ago

   For better view: https://datahonor.com/Oh-PyTorch/100-PyTorch-Exercises/
5. 5.▲
   Show HN: PyTorch solutions for NumPy-100 exercies(github.com)

   1 points by mathewshen 2y ago|1 comments
6. 6.▲
   by mathewshen 2y ago

   Agree. And thanks for the recommendation, I'd like to read the paper of GraphTS.
7. 7.▲
   by mathewshen 2y ago

   If you want to see more algorithms/systems that are used in industry company like Twitter/Microsoft/Amazon/LinkedIn/IBM/..., you can see my note here(The source page is in Chinese, and I just translate it into
8. 8.▲
   by mathewshen 2y ago

   Very surprised that I can see this paper here and it deserved! I start fellow the work of Dr. Boniol since 2021(By the series2graph paper). The Series2Graph is an very good algorithm that works well in some complex situations. And his later
9. 9.▲
   by mathewshen 2y ago

   You can check the project's motivation here: https://datahonor-com.translate.goog/beer/blog/2024/04/15/ab...
10. 10.▲
    Beer: Challenging Problems in Probability and Statistics(datahonor.com)

    2 points by mathewshen 2y ago|1 comments