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[feat] SID: add SidRqvae (RQ-VAE) model — STE/Gumbel-Softmax + CLIP Code Review #138: Pull request #545 labeled by WhiteSwan1
9m 43s
9m 43s
[bugfix] correct dataloader checkpoint resume across forked workers and epochs Code Review #137: Pull request #544 labeled by tiankongdeguiji
15m 2s
15m 2s
[bugfix] correct dataloader checkpoint resume across forked workers and epochs Code Review #136: Pull request #544 labeled by tiankongdeguiji
12m 47s
12m 47s
[feat] SID: add SidRqkmeans model (FAISS-trained residual K-Means) Code Review #135: Pull request #539 labeled by WhiteSwan1
15m 32s
15m 32s
[feat] SID: add SidRqkmeans model (FAISS-trained residual K-Means) Code Review #134: Pull request #539 labeled by WhiteSwan1
16m 39s
16m 39s
[feat] SID: add SidRqkmeans model (FAISS-trained residual K-Means) Code Review #133: Pull request #539 labeled by WhiteSwan1
8m 26s
8m 26s
[feat] distributed embedding export Code Review #132: Pull request #525 labeled by eric-gecheng
12m 12s
12m 12s
[feat] SID: add SidRqkmeans model (FAISS-trained residual K-Means) Code Review #131: Pull request #539 labeled by WhiteSwan1
14m 28s
14m 28s
[feat] SID: add SidRqkmeans model (FAISS-trained residual K-Means) Code Review #130: Pull request #539 labeled by WhiteSwan1
12m 14s
12m 14s
[feat] SID: add SidRqkmeans model (FAISS-trained residual K-Means) Code Review #129: Pull request #539 labeled by WhiteSwan1
18h 37m 27s
18h 37m 27s
[feat] Kafka: event-time driven checkpointing from message timestamp Code Review #128: Pull request #541 labeled by tiankongdeguiji
8m 42s
8m 42s
[feat] Kafka: event-time driven checkpointing from message timestamp Code Review #127: Pull request #541 labeled by tiankongdeguiji
9m 31s
9m 31s
[bugfix] DlrmHSTU predict: keep candidate split key in original order for descending timestamps Code Review #126: Pull request #540 labeled by tiankongdeguiji
4m 57s
4m 57s
[feat] SID: add ResidualQuantizer / BaseSidModel base classes Code Review #125: Pull request #538 labeled by WhiteSwan1
5m 6s
5m 6s
[feat] SID: add ResidualQuantizer / BaseSidModel base classes Code Review #124: Pull request #538 labeled by tiankongdeguiji
5m 0s
5m 0s
[feat] SID: add ResidualQuantizer / BaseSidModel base classes Code Review #123: Pull request #538 labeled by WhiteSwan1
5m 11s
5m 11s
[feat] support keep_checkpoint_max with async checkpoint pruning Code Review #122: Pull request #528 labeled by tiankongdeguiji
9m 27s
9m 27s
[feat] HSTUMatch: request-time-anchored time bias (fix ts_gap semantics) Code Review #121: Pull request #526 labeled by tiankongdeguiji
6m 59s
6m 59s
[bugfix] export: cache feature-permute order to avoid per-forward H2D sync Code Review #120: Pull request #527 labeled by tiankongdeguiji
3m 41s
3m 41s
[feat] SID generation — RQ-VAE and RQ-KMeans models (FAISS-trained) Code Review #119: Pull request #517 labeled by WhiteSwan1
8m 36s
8m 36s
fix: accumulate domain loss predictions instead of overwriting Code Review #118: Pull request #523 labeled by tiankongdeguiji
2m 29s
2m 29s
[feat] SID generation — RQ-VAE and RQ-KMeans models (FAISS-trained) Code Review #117: Pull request #517 labeled by WhiteSwan1
9m 54s
9m 54s
[ci] add PPU unittest workflow Code Review #116: Pull request #522 labeled by tiankongdeguiji
14m 23s
14m 23s
[feat] SID generation — RQ-VAE and RQ-KMeans models (FAISS-trained) Code Review #115: Pull request #517 labeled by tiankongdeguiji
8m 40s
8m 40s
[feat] planner: pick dynamicemb HYBRID vs CACHING from topology budgets Code Review #114: Pull request #508 labeled by tiankongdeguiji
6m 15s
6m 15s