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1.

Thoughts on DSPy

2 years ago

1 points

2.

DSPy: Framework for programming with foundation models

github.com/stanfordnlp

3 years ago

141 points

3.

Stanford Deep Learning for NLP Course Notes

github.com/stanfordnlp

9 years ago

6 points

4.

Stanford CoreNLP (natural language analysis tools) source code now on GitHub

github.com/stanfordnlp

13 years ago

3 points

5.

github.com/stanfordnlp

3 years ago

3 points

6.

Stanfordnlp: Official Stanford NLP Python Library for Many Human Languages

github.com/stanfordnlp

7 years ago

3 points

7.

String-to-String Algorithms from Stanford NLP

github.com/stanfordnlp

3 years ago

2 points

8.

Standford nlp notes (cs 224)

github.com/stanfordnlp

9 years ago

2 points

9.

Stanfordnlp: DSPy: The framework for programming–not prompting–language models

github.com/stanfordnlp

2 years ago

1 points

10.

DSPy: Programming–not prompting–Foundation Models

github.com/stanfordnlp

3 years ago

1 points

11.

Stanford CS224N Natural Language Processing with Deep Learning Notes

github.com/stanfordnlp

9 years ago

1 points

12.

STOKE – a stochastic optimizer for x86_64 assembly

github.com/StanfordPL

10 years ago

129 points

13.

x64asm: C++ Library with in-memory assembler, parser, and linker

github.com/StanfordPL

9 years ago

89 points

14.

Legion 24.03.0 – Control Replication

github.com/StanfordLegion

2 years ago

5 points

15.

STOKE: A stochastic superoptimizer and program synthesizer

github.com/StanfordPL

9 years ago

4 points

16.

Behavior: Robot manipulation benchmark based on 1000 household tasks

github.com/StanfordVL

9 months ago

2 points

17.

Minkowski Engine

github.com/StanfordVL

7 years ago

2 points

18.

Stoke is a stochastic optimizer and program synthesizer

github.com/StanfordPL

4 years ago

1 points

19.

Fast sparse convolution library for 3D/4D perception

github.com/stanfordvl

7 years ago

1 points