lucidrains
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fe99efecba
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make a first pass through the shortcut training logic (Frans et al from Berkeley) maintaining both v-space and x-space
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2025-10-05 11:17:36 -07:00 |
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lucidrains
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971637673b
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complete all the types of attention masking patterns as proposed in the paper
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2025-10-04 12:45:54 -07:00 |
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lucidrains
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5c6be4d979
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take care of blocked causal in video tokenizer, still need the special attention pattern for latents to and from though
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2025-10-04 12:03:50 -07:00 |
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lucidrains
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6c994db341
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first nail down the attention masking for the dynamics transformer model using a factory function
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2025-10-04 11:20:57 -07:00 |
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lucidrains
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895a867a66
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able to accept raw video for dynamics model, if tokenizer passed in
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2025-10-04 06:57:54 -07:00 |
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lucidrains
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8373cb13ec
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grouped query attention is necessary
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2025-10-04 06:31:32 -07:00 |
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lucidrains
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046f8927d1
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complete the symexp two hot proposed by Hafner from the previous versions of Dreamer, but will also bring in hl gauss
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2025-10-03 08:08:44 -07:00 |
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lucidrains
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8d1cd311bb
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Revert "address https://github.com/lucidrains/dreamer4/issues/1"
This reverts commit e23a5294ec2f49d58d3ccb936c498eb86939fa96.
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2025-10-02 12:25:05 -07:00 |
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lucidrains
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e23a5294ec
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address https://github.com/lucidrains/dreamer4/issues/1
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2025-10-02 11:49:22 -07:00 |
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lucidrains
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49082d8629
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x-space and v-space prediction in dynamics model
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2025-10-02 08:36:00 -07:00 |
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lucidrains
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8b66b703e0
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add the discretized signal level + step size embeddings necessary for diffusion forcing + shortcut
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2025-10-02 07:39:34 -07:00 |
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lucidrains
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bb7a5d1680
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sketch out the axial space time transformer in dynamics model
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2025-10-02 07:17:58 -07:00 |
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lucidrains
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0285bba821
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flesh out tokenizer even more
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2025-10-02 06:11:04 -07:00 |
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lucidrains
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31c4aa28c7
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start setting up tokenizer
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2025-10-02 05:37:43 -07:00 |
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lucidrains
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e8678364ba
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swish glu feedforward from shazeer et al
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2025-10-01 09:28:25 -07:00 |
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lucidrains
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bdc7dd30a6
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scaffold
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2025-10-01 07:18:23 -07:00 |
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