@@ -8,67 +8,67 @@ title: Subject to change
88 : ** Info**
99
1010Feb 03
11- : ** Lecture 01** {: .label .label-purple } Logistics & AI basics
11+ : [ ** Lecture 01** ] [ lectures ] {: .label .label-purple target=" _ blank" rel="noopener" } Logistics & AI basics
1212 : Bonnie Berger
1313
1414Feb 05
15- : ** Lecture 02** {: .label .label-purple } GenAI Fundamentals
15+ : [ ** Lecture 02** ] [ lectures ] {: .label .label-purple target=" _ blank" rel="noopener" } GenAI Fundamentals
1616 : Bonnie Berger
1717 : <span class =" label label-gray " >PSET 0 Out</span >
1818
1919Feb 10
20- : ** Lecture 03** {: .label .label-purple } Neural nets: under the hood
20+ : [ ** Lecture 03** ] [ lectures ] {: .label .label-purple target=" _ blank" rel="noopener" } Neural nets: under the hood
2121 : Eric Alm
2222
2323
2424Feb 12
25- : ** Lecture 04** {: .label .label-purple } Neural nets 2, Applications in biology
25+ : [ ** Lecture 04** ] [ lectures ] {: .label .label-purple target=" _ blank" rel="noopener" } Neural nets 2, Applications in biology
2626 : Eric Alm
2727 : <span class =" label label-purple " >PSET 0 Due</span > <span class =" label label-gray " >PSET 1 Out</span >
2828
2929
3030Feb 17
31- : ** Lecture 05** {: .label .label-purple } Variational Autoencoders (VAEs)
31+ : [ ** Lecture 05** ] [ lectures ] {: .label .label-purple target=" _ blank" rel="noopener" } Variational Autoencoders (VAEs)
3232 : Eric Alm
3333
3434
3535Feb 19
36- : ** Lecture 06** {: .label .label-purple } SAEs and biological interpretability
36+ : [ ** Lecture 06** ] [ lectures ] {: .label .label-purple target=" _ blank" rel="noopener" } SAEs and biological interpretability
3737 : Onkar Gujral
3838
3939Feb 24
40- : ** Lecture 07** {: .label .label-purple } CNNs for DNA
40+ : [ ** Lecture 07** ] [ lectures ] {: .label .label-purple target=" _ blank" rel="noopener" } CNNs for DNA
4141 : Eric Alm
4242 : <span class =" label label-purple " >PSET 1 Due</span > <span class =" label label-gray " >PSET 2 Out</span >
4343
4444
4545Feb 26
46- : ** Lecture 08** {: .label .label-purple } Training deep networks
46+ : [ ** Lecture 08** ] [ lectures ] {: .label .label-purple target=" _ blank" rel="noopener" } Training deep networks
4747 : Eric Alm
4848
4949Mar 03
50- : ** Lecture 09** {: .label .label-purple } Transformers
50+ : [ ** Lecture 09** ] [ lectures ] {: .label .label-purple target=" _ blank" rel="noopener" } Transformers
5151 : Eric Alm
5252
5353Mar 05
54- : ** Lecture 10** {: .label .label-purple } LLMs for proteins
54+ : [ ** Lecture 10** ] [ lectures ] {: .label .label-purple target=" _ blank" rel="noopener" } LLMs for proteins
5555 : Bonnie Berger
5656
5757Mar 10
58- : ** Lecture 11** {: .label .label-purple } LLMs for protein interactions
58+ : [ ** Lecture 11** ] [ lectures ] {: .label .label-purple target=" _ blank" rel="noopener" } LLMs for protein interactions
5959 : Bonnie Berger
6060
6161Mar 12
62- : ** Lecture 12** {: .label .label-purple } PLMs for Evolution
62+ : [ ** Lecture 12** ] [ lectures ] {: .label .label-purple target=" _ blank" rel="noopener" } PLMs for Evolution
6363 : Bonnie Berger
6464 : <span class =" label label-purple " >PSET 2 Due</span > <span class =" label label-gray " >PSET 3 Out</span >
6565
6666Mar 17
67- : ** Lecture 13** {: .label .label-purple } GNNs for Chemistry
67+ : [ ** Lecture 13** ] [ lectures ] {: .label .label-purple target=" _ blank" rel="noopener" } GNNs for Chemistry
6868 : Eric Alm
6969
7070Mar 19
71- : ** Lecture 14** {: .label .label-purple } GNNs for single cell genomics
71+ : [ ** Lecture 14** ] [ lectures ] {: .label .label-purple target=" _ blank" rel="noopener" } GNNs for single cell genomics
7272 : Bonnie Berger
7373
7474Mar 24
@@ -78,50 +78,50 @@ Mar 26
7878: ** Spring Break** {: .label .label-gray }
7979
8080Mar 31
81- : ** Lecture 15** {: .label .label-purple } Diffusion Generative Models I
81+ : [ ** Lecture 15** ] [ lectures ] {: .label .label-purple target=" _ blank" rel="noopener" } Diffusion Generative Models I
8282 : Bowen Jing
8383 : <span class =" label label-purple " >PSET 3 Due</span > <span class =" label label-gray " >PSET 4 Out</span >
8484
8585Apr 2
86- : ** Lecture 16** {: .label .label-purple } Diffusion Generative Models II
86+ : [ ** Lecture 16** ] [ lectures ] {: .label .label-purple target=" _ blank" rel="noopener" } Diffusion Generative Models II
8787 : Bowen Jing
8888
8989Apr 7
90- : ** Lecture 17** {: .label .label-purple } Protein Structure Prediction
90+ : [ ** Lecture 17** ] [ lectures ] {: .label .label-purple target=" _ blank" rel="noopener" } Protein Structure Prediction
9191 : Eric Alm
9292
9393Apr 9
94- : ** Lecture 18** {: .label .label-purple } Protein Design
94+ : [ ** Lecture 18** ] [ lectures ] {: .label .label-purple target=" _ blank" rel="noopener" } Protein Design
9595 : Mihir Bafna
9696
9797
9898Apr 14
99- : ** Lecture 19** {: .label .label-purple } Invited talk
99+ : [ ** Lecture 19** ] [ lectures ] {: .label .label-purple target=" _ blank" rel="noopener" } Invited talk
100100 : TBA
101101
102102
103103Apr 16
104- : ** Lecture 20** {: .label .label-purple } PLMs for MSAs
104+ : [ ** Lecture 20** ] [ lectures ] {: .label .label-purple target=" _ blank" rel="noopener" } PLMs for MSAs
105105 : BB or MH
106106 : <span class =" label label-purple " >PSET 4 Due</span >
107107
108108
109109Apr 21
110- : ** Lecture 21** {: .label .label-purple } Deep learning for epigenomics
110+ : [ ** Lecture 21** ] [ lectures ] {: .label .label-purple target=" _ blank" rel="noopener" } Deep learning for epigenomics
111111 : Ruochi Zhang
112112
113113
114114Apr 23
115- : ** Lecture 22** {: .label .label-purple } Invited talk
115+ : [ ** Lecture 22** ] [ lectures ] {: .label .label-purple target=" _ blank" rel="noopener" } Invited talk
116116 : TBA
117117
118118
119119Apr 28
120- : ** Lecture 23** {: .label .label-purple } Invited talk
120+ : [ ** Lecture 23** ] [ lectures ] {: .label .label-purple target=" _ blank" rel="noopener" } Invited talk
121121 : TBA
122122
123123Apr 30
124- : ** Lecture 24** {: .label .label-purple } Invited talk
124+ : [ ** Lecture 24** ] [ lectures ] {: .label .label-purple target=" _ blank" rel="noopener" } Invited talk
125125 : TBA
126126
127127May 5
@@ -135,3 +135,5 @@ May 7
135135
136136May 12
137137: ** Final** {: .label .label-purple } Project Presentations
138+
139+ [ lectures] : {{ site.lectures_drive_url }}
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