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The more I think about this problem, the more it looks and feels like an ML problem. We have an input data set (the universe of metrics and data we can find about a project). And we want a numerical s…
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🔬 *This is an experiment in doing radically open research. I plan to post all my work on this openly as I do it, tracking it in this issue. I'd love for people to comment, or better yet collaborate! *…
colah updated
4 years ago
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Today in NumPy there's `transpose`, which "reverses or permutes" an array's axes. A "transposition," however, is typically a swap of two elements, like what `swapaxes` does. This issue proposes a new …
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The run_generation_batch.py in finetune/textgen/gpt2 imports stuff from train_control. Now that is not an open package, but another file from https://github.com/XiangLi1999/PrefixTuning/tree/cleaned/g…
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**[环境]** CU11.7,torch1.13.1,T4卡,ubunut16.04,nvidia-dali-cuda110 1.25.0,nccl2.14.3,gcc7.5
**[运行命令]** `python -m torch.distributed.launch --nproc_per_node=4 train.py configs/culane_res18.py`
**[终端…
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I am trying to fit a model in which each sample has three float features (X) and a corresponding set of 13 vectors of 100 points (y).
`Dataset shape (X, y): torch.Size([1500, 3]), torch.Size([1500…
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We should have an overview (possibly in the tutorials) which methods create Axes and when to use which.
This could contain the flow-chart blow plus additional descriptions.
- I've not taken into…
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Need to step up to larger models with permissive license. 30b Llama works, but can't be used. 6b is too small, bad results. So next better choice is gpt-neox-20b.
this works:
`CUDA_VISIBLE_DEVICES…
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In UniTS_zeroshot_newdata.sh,we found that we need to pre-train before we could test zero-shot. Is there a pre-trained model on this for direct testing?
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### Description
2d Array matrix operations not supported
### Repro code
```fs
member inline m.ToArray2D() =
match m with
| Matrix m -> m
| ZeroMatrix _ -> Array2D.zeroCreate 0…
ghost updated
4 months ago