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really not clear from paper: 'computed as cosine similarity
with annealing between the encodings hx and
hy. It starts at 1 and ends atp
d, linearly increasing
over the first 10K training batches.'…
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INFO:lightrag:Logger initialized for working directory: ./dickens
INFO:lightrag:Load KV full_docs with 0 data
INFO:lightrag:Load KV text_chunks with 0 data
INFO:lightrag:Load KV llm_response_cache …
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# Feature Request: Integrate Dimension Insensitive Euclidean Metric (DIEM) into Qdrant
## Background
We have come across a paper that proposes a novel distance metric called **Dimension Insensitiv…
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Dear,
We are trying to use COAWST to do the biology-related simulation.
We noticed that COAWST currently includes CoSiNE 2.0 in ROMS/Nonlinear/Biology/umaine.h, and we have some questions about …
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I am trying to simulate a gel with FENE, WCA and AngleCosine bond potentials. My script looks like this:
```python
import numpy as np
import espressomd
import espressomd.interactions
import esp…
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The cosine theorem is the only theorem using bilinearity currently. With cosine theorem, we instantly get SAS, cos = ratio in a RTriangle, ... (even Pythagoras).
We decided to construct cosine theo…
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Thanks for this amazing work :) Very helpful.
I cannot understand how your implementation of the cosine schedule is similar to that of DDIM. In particular, I'm referring to [these](https://github.c…
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Hi, many thanks for your wonderful work and code!
I'm now working on fMRI decoding and during my experiments running your code, I noticed that the training loss of loss_clip_text keeps decreasing …
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**Is your feature request related to a problem? Please describe.**
I'm fitting a Kmeans model on a 1 billion * 1024 dims dataset using MNMG Kmeans. Cosine distance is preferred since the semantic emb…
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Hello,First of all, thank you very much for this research work! However, when I try to train with the 3DMatch dataset you provided, I get an error message：
(torch) yy@yy:~/se3-equi-graph-registration…