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README.md
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@@ -136,11 +136,6 @@ python lecture_5/run.py --method gat --data lecture_5/data/dna_train.tsv --out l
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python lecture_5/run.py --method gat --mode sample --out lecture_5/outputs/gat
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```
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The current [Discrete Generation slide deck](https://docs.google.com/presentation/d/1qcPdF4SYTq4VdTN_5w9GjviLRPr2HFtbuYMpbfLrc_M/edit)
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contains both lectures. Diffusion code through PepTune belongs to Lecture 4.
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Classic DFM and the subsequent flow methods belong to Lecture 5. The code maps
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use stable slide links, so added transition slides do not break the mapping.
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Both folders include numerical examples, mathematical tests, and saved results
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from seeded CPU runs. The guides explain finite endpoint approximations and
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classroom simplifications for each method.
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python lecture_5/run.py --method gat --mode sample --out lecture_5/outputs/gat
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```
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Both folders include numerical examples, mathematical tests, and saved results
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from seeded CPU runs. The guides explain finite endpoint approximations and
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classroom simplifications for each method.
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