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1.
▲
Fast Robot Kinematics and Dynamics in Jax
(github.com/StanfordASL)
2 points
aanet
8 days ago
1 comment
2.
▲
DSPy: Framework for programming with foundation models
(github.com/stanfordnlp)
141 points
okhat
3 years ago
52 comments
3.
▲
STOKE – a stochastic optimizer for x86_64 assembly
(github.com/StanfordPL)
129 points
ingve
10 years ago
22 comments
4.
▲
Stanford Deep Learning for NLP Course Notes
(github.com/stanfordnlp)
6 points
aduffy
9 years ago
discuss
5.
▲
Legion 24.03.0 – Control Replication
(github.com/StanfordLegion)
5 points
eslaught
2 years ago
discuss
6.
▲
Show HN: CS43 – Functional Programming Paradigms
(github.com/stanfordhaskell)
3 points
acgan
7 years ago
1 comment
7.
▲
Guardian Agent: secure agent forwarding for Mosh or SSH
(github.com/StanfordSNR)
3 points
zkanda
9 years ago
1 comment
8.
▲
Guardian Agent: secure SSH-agent forwarding for Mosh and SSH
(github.com/StanfordSNR)
3 points
alexeiz
6 years ago
discuss
9.
▲
Behavior: Robot manipulation benchmark based on 1000 household tasks
(github.com/StanfordVL)
2 points
transpute
9 months ago
discuss
10.
▲
Guardian Agent: secure agent forwarding for Mosh or SSH
(github.com/StanfordSNR)
2 points
yankcrime
2 years ago
discuss
11.
▲
Gg – The Stanford Builder
(github.com/StanfordSNR)
2 points
tsujp
5 years ago
discuss
12.
▲
Standford nlp notes (cs 224)
(github.com/stanfordnlp)
2 points
federicoponzi
9 years ago
discuss
13.
▲
Gg: Outsourcing Everyday Jobs to Thousands of Transient Functional Containers
(github.com/StanfordSNR)
1 point
GordonS
6 years ago
discuss
14.
▲
Guardian Agent: secure ssh-agent forwarding for Mosh and SSH
(github.com/StanfordSNR)
1 point
dimakogan
8 years ago
discuss
15.
▲
Stanford CS224N Natural Language Processing with Deep Learning Notes
(github.com/stanfordnlp)
1 point
stared
9 years ago
discuss
16.
▲
Stanford's Javascript Crypto Library
(bitwiseshiftleft.github.com)
70 points
siculars
16 years ago
42 comments
17.
▲
Show HN: Open-source implementation of Stanford's self-learning agent framework
(github.com/kayba-ai)
10 points
kayba
8 months ago
5 comments
18.
▲
Importing Stanford's Deep Learning Sentiment Treebank
10 points
someben
13 years ago
discuss
19.
▲
Scaling Coding-Agent RL to 32x H100s. 160% Improvement on Stanford's TBench
(github.com/Danau5tin)
2 points
Danau5tin
7 months ago
1 comment
20.
▲
Solutions to Stanford's Deep Learning exercises
(github.com/danluu)
1 point
danso
12 years ago
discuss
21.
▲
Transformers and LLMs cheatsheets for Stanford's CME-295
(github.com/afshinea)
1 point
daviducolo
a year ago
discuss
22.
▲
Show HN: Witchcraft and Pickbrain – fast multi-vector semantic search in Rust
(github.com/dropbox)
6 points
jacobgorm
2 months ago
discuss
23.
▲
Show HN: LLM agents that write Python to analyze execution traces at scale
(github.com/kayba-ai)
5 points
kayba
3 months ago
discuss
24.
▲
Show HN: Open-source agent learning layer: 30% to 100% success on browser agents
(github.com/kayba-ai)
3 points
kayba
6 months ago
discuss