What the smart people are recommending. 7861 books, tools, and products endorsed by the thinkers absorb.md tracks. Ranked by how many times each has been recommended across compiled podcasts, papers, posts, and tweets.
“The code and models can be found at https://github.com/samsongourevitch/rev_udm.”
“Our code is available at: https://github.com/ysfalh/distillation-game.”
“Codes and data can be found at https://github.com/k59118/Harness_Optimizer_Evaluation.”
“I think we talked about that here a bit. That's an open source training tool. It helps AI models, improve themselves by running five-minute experiments. That got over 82,000 stars on GitHub.”
“Our dataset and code are publicly available at: https://thusharakart.github.io/Thermo-VL”
“Our scikit-learn-compatible toolbox (github.com/UMCU-RIBS/BCI-sift) simplifies feature selection in BCI tasks by integrating advanced optimization methods.”
“Our code is publicly available at https://github.com/ZBWpro/OnePred.”
“Our code is publicly available at https://github.com/ZBWpro/Co-ReAct.”
“Code is released at https://github.com/liliupeng28/ICML26-CVSearch.”
“Our code is available at https://github.com/Lumina04/CARE.”
“The code and data are available at https://github.com/AlexFanw/LegalSearch-R1.”