Activity
Stars and mentions · Last 30 days, Oct 6 – Nov 4
Top repositories
naklecha’s repositories ranked by new forks, as on trending.
Contributes to
Repositories outside naklecha’s account where naklecha opened or reviewed pull requests in the past 365 days.
Who noticed naklecha
Everyone who starred or forked naklecha’s repositories since the archive began in 2011.
Notable accounts
Ordered by the stars their own repositories have received.
Biggest fans
Accounts that starred the most of these repositories.
Breakout weeks
Each repository’s best week of new stars, with the release published around it.
Achievements
Awards earned by the repositories naklecha owns. Select an award to embed its badge.
- Gold
- 41st place finishes
- Silver
- 12nd place finishes
- Bronze
- 13rd place finishes
- Awarded repositories
- 1Owned by naklecha now
Repositories
Ordered by gold, then silver, then bronze.
- llama3-from-scratchBest: 1st by stars, 6,899 stars411
Every award
Top-three finishes of these repositories in completed trending days and weeks, newest first.
A repository earns an award for finishing first, second or third in a completed trending day or week, ranked by new stars, new forks or pull request authors. Awards follow a repository through renames and transfers and count toward its current owner. Weeks run Monday to Sunday, UTC.
Mentions
I ran a simple experiment on Cloudy last week. It cut the kernels in my LLM inference library (SimpleLLM) from 5,762 lines to 297 and made it decode 11-15% faster than vLLM 0.32.0 (latest). (using a single prompt) Blog: cloudy.so Code: naklecha/simple-llm t.co
i replaced simple-llm's old external kernels (~5.8k lines) with a faster & simpler ~300 lines triton kernel file. optimizations: github.com/naklecha/simple-llm/blob/master/docs/o… t.co
@zack_overflow kinda my thesis too when i was building simple-llm (naklecha/simple-llm), these days i want almost everything i do to be in simple scripts.