HK
Heykuki News
Top
New
Best
Ask
Show
Jobs
Toggle theme
Top
New
Best
Ask
Show
Jobs
Request
1.
▲
Behavior: Robot manipulation benchmark based on 1000 household tasks
github.com/StanfordVL
discuss
9 months ago
transpute
2 points
2.
▲
Minkowski Engine
github.com/StanfordVL
discuss
7 years ago
varunagrawal
2 points
3.
▲
Fast sparse convolution library for 3D/4D perception
github.com/stanfordvl
discuss
7 years ago
veritas208
1 points
4.
▲
Thoughts on DSPy
discuss
2 years ago
kakaly040390
1 points
5.
▲
DSPy: Framework for programming with foundation models
github.com/stanfordnlp
52 comments
3 years ago
okhat
141 points
6.
▲
STOKE – a stochastic optimizer for x86_64 assembly
github.com/StanfordPL
22 comments
10 years ago
ingve
129 points
7.
▲
x64asm: C++ Library with in-memory assembler, parser, and linker
github.com/StanfordPL
20 comments
9 years ago
tomcam
89 points
8.
▲
Stanford Deep Learning for NLP Course Notes
github.com/stanfordnlp
discuss
9 years ago
aduffy
6 points
9.
▲
Legion 24.03.0 – Control Replication
github.com/StanfordLegion
discuss
2 years ago
eslaught
5 points
10.
▲
STOKE: A stochastic superoptimizer and program synthesizer
github.com/StanfordPL
discuss
9 years ago
albertzeyer
4 points
11.
▲
Stanford CoreNLP (natural language analysis tools) source code now on GitHub
github.com/stanfordnlp
discuss
13 years ago
mlla
3 points
12.
▲
Dspy
github.com/stanfordnlp
discuss
3 years ago
nothrowaways
3 points
13.
▲
Stanfordnlp: Official Stanford NLP Python Library for Many Human Languages
github.com/stanfordnlp
discuss
7 years ago
kumaranvpl
3 points
14.
▲
String-to-String Algorithms from Stanford NLP
github.com/stanfordnlp
discuss
3 years ago
tim_sw
2 points
15.
▲
Standford nlp notes (cs 224)
github.com/stanfordnlp
discuss
9 years ago
federicoponzi
2 points
16.
▲
Stanfordnlp: DSPy: The framework for programming–not prompting–language models
github.com/stanfordnlp
discuss
2 years ago
FloatArtifact
1 points
17.
▲
DSPy: Programming–not prompting–Foundation Models
github.com/stanfordnlp
discuss
3 years ago
gfortaine
1 points
18.
▲
Stoke is a stochastic optimizer and program synthesizer
github.com/StanfordPL
discuss
4 years ago
rq1
1 points
19.
▲
Stanford CS224N Natural Language Processing with Deep Learning Notes
github.com/stanfordnlp
discuss
9 years ago
stared
1 points
20.
▲
OpenTSLM: Language models that understand time series
opentslm.com
80 comments
9 months ago
rjakob
280 points
21.
▲
Show HN: Blast – Fast, multi-threaded serving engine for web browsing AI agents
github.com/stanford-mast
66 comments
a year ago
calebhwin
145 points
22.
▲
AI Agent Guidelines for CS336 at Stanford
github.com/stanford-cs336
153 comments
21 days ago
prakashqwerty
503 points
23.
▲
Biomni: A General-Purpose Biomedical AI Agent
github.com/snap-stanford
37 comments
a year ago
GavCo
222 points
24.
▲
Stanford CS248: Implement an SVG Rasterizer
github.com/stanford-cs248
80 comments
6 years ago
adamnemecek
208 points
25.
▲
Storm: LLM system that researches a topic and generates full-length wiki article
github.com/stanford-oval
97 comments
2 years ago
GavCo
123 points
26.
▲
Stanford CS240h, Functional Systems in Haskell
github.com/bos
40 comments
14 years ago
rohshall
81 points
27.
▲
Stanford Class2Go
github.com/Stanford-Online
6 comments
13 years ago
smagch
47 points
28.
▲
Earthquake detection pipeline via efficient time series similarity search
github.com/stanford-futuredata
4 comments
8 years ago
aburan28
39 points
29.
▲
MegaBlocks: Efficient Sparse Training with Mixture-of-Experts
github.com/stanford-futuredata
1 comment
3 years ago
tgale96
6 points
30.
▲
Show HN: What if MCP agents were JIT compiled to code?
github.com/stanford-mast
discuss
7 months ago
ardmiller
6 points
More