SYSTEM_STATUS: ONLINE
IMPLEMENT
RESEARCH
PAPERS
MASTER MACHINE LEARNING ENGINEERING. LEETCODE-STYLE IMPLEMENTATION CHALLENGES FOR LANDMARK PAPERS.
> NO FLUFF.
> PURE CODE.
> HARD SKILLS.
repro_user@machine:~/projects/attention
-- VIM --
1class SelfAttention(nn.Module):
2def __init__(self, embed_size, heads):
3super(SelfAttention, self).__init__()
4self.embed_size = embed_size
5self.heads = heads
6self.head_dim = embed_size // heads
7# Validate embedding size
8assert (self.head_dim * heads == embed_size)
9_
"attention.py" 9L, 342B written
CPU: 12%MEM: 4.2GBUPTIME: 42h 12m
[01]
STREAKS_&_LOGS
Daily commit graph. Maintain consistency. Do not break the chain.
[02]
AUTO_EVALUATION
Instant unit test feedback. Pass/Fail binary metrics. Hard constraints.
[03]
GLOBAL_RANK
Competitive leaderboards based on efficiency and correctness.
[04]
PAPER_DATABASE
Access simplified PDFs and implementation guides. Pure signal.
// HOW_IT_WORKS
01
UPLOAD_PAPER
UPLOAD A PAPER TO START.
WE GENERATE A CODE SCAFFOLD FROM THE PDF.
02
IMPLEMENT_SOLUTION
FILL IN THE TODOs.
USE THE PAPER AS YOUR SPEC.
03
SUBMIT
RUN TESTS AND SUBMIT.
ITERATE UNTIL IT PASSES.