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There's already high performance phones that can handle. Big models. I hope i can use also the big models in this app, to have a better speech recognition.
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### Describe the bug?
Performance issues with the animator.
The Animator on a Model with 70+ bones. Performance drops 10-20 frames from the current fps, average frames while not in use is 60+ Fps…
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I have reimplemented zeroIG on LOL, the best PSNR and SSIM are 19.6 and 0.755, among all the models trained with 400 epochs. Since the reported performance is 22.2 PSNR in the paper (and the uploaded …
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How's the model performance comparing to [distil-whisper](https://github.com/huggingface/distil-whisper) which is also optimized?
By the way, is your model based on tiny/medium/large model?
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* [x] Download and evaluate CSV data 538 history of MLB data
* [x] Ascertain who the favorite was for each game and whether the favorite won
* [ ] Plot fraction of games that the favorite has won ov…
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It's important to understand why real-time model monitoring is essential. In the real world, machine learning models are deployed to make predictions, often in real-time. However, these models can deg…
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**Describe the bug**
I have a major issue that I have seen in lot of the cases on other trial. The MLX training gives rarely a good performance while for torch and keras it is more stable and better.…
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Hi @ruotianluo. Thanks for your codebase.
I trained AoA model using your code and your params config. however the performance i get is worser than that paper report.
In xe training stage, i use ./co…
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How does the predictive performance of the first stage models affect confidence in the final stage model?
For context, I am using the ForestDMLCateEstimator with a random forest regressor and rando…
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Hi @zijundeng ,
I have loaded your pre-trained model and inference, but I got Ber = 5.20. I have ensured that my evaluation code is right, while I used your network, data loader and other.
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