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Hi,,
Currently I am using Jetson TX2. And I am trying to move to Jetson Xavier.
Please help me use Xavier board efficiently, by suggesting me the various possibilities to improve the speed.
Tha…
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As I said the number of instances for each class in the dataset varies very abruptly. I fine tuned a model and found that its scores were very insignificant. The first thing i tried to do was debug th…
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- [X] I have searched the existing issues
## Feature Description
### HeartBeat Classification using ECG
This project focuses on developing a system for classifying heartbeats using Electr…
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## 🚀 Feature
Integrate [Shark ](https://nod.ai/shark-the-fastest-runtime/) as an accelerator backend for Lightning.
### Motivation
Lightning users would benefit from a "performance first" bac…
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I read the issues and how to do the inference this is my code
```
import torch
import numpy as np
import matplotlib.pyplot as plt
from torch.utils.data import Dataset,DataLoader
from torchvis…
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The training codes are expected to be released since July. Do you have clear plans for the release?
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Hi XGBoost!
I am from [Modin](https://github.com/modin-project/modin.git) team. Modin provides an efficient distributed DataFrames and has a [distributed implementation of XGBoost.](https://github.…
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Hi! I have a question after seeing your **Performance** section on README. Why doesn't it show the result for continual learning models using BERT (without frozen)? Thanks in advance!
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in fastai, if we convert loaded model to sequential:
mode = EfficientNet.from_pretrained('efficientnet-b0')
model1 = nn.Sequential(*list(chiuldren(model)))
not able to train using learn.fit_one…
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1. [Original Paper](https://arxiv.org/pdf/2302.12813.pdf)
2. Basic Implementation - [DSP](https://arxiv.org/pdf/2212.14024.pdf)
## Efficient LLM Usage
1. https://github.com/kyegomez/tree-of-thoug…