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### 🚀 The feature, motivation and pitch
I propose the addition of a conformal prediction framework to the PyTorch library. This framework would include the implementation of split conformal predictio…
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:red_circle: **Title** : Loan Repayment Prediction
:red_circle: **Aim** : Predict the Repayment of Loan
:red_circle: **Brief Explanation** : Use Machine Learning Algorithms to predict if a person w…
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Now with FSRS built into Anki (23.10+), I think adding FSRS simulation is worthwhile. If I understand correctly, currently the simulation depends on using the traditional Anki algorithm (based on SM-2…
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Ahoy, I hope you're doing fine!
As I and my company are based in Germany and have some demand for data erasure, due to our business field, we’re still better off using open-source software than som…
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First of all thanks for such a great library and your continuous support. I am working on predictions with uncertainty using the NGBoost Regressor and want to improve the accuracy of predictions. My a…
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Project Title : Heart Disease Prediction using Machine Learning(DL)
Aim: Compare neural network and random forest algorithms to determine the best model for heart disease prediction using accuracy …
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Proposed sequence of topics
1. How ML works
2. Steps involved in developing a model - loading data, preprocessing, model definition (algorithm, optimiser, loss), training, prediction)
3. Pytorch in…
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Dear organizer,
I have successfully tested my model using both the local Docker environment and the Grand Challenge Algorithms platform, achieving an average Dice score of over 0.70 across 23 vascu…
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## Abstract
- Present training NN to generate sequences using actor-critic method from RL
- Introduce **critic** network that is trained to predict the value of an output token, given the policy of …
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Aim:
To execute an end-to-end stock market prediction webapp:
> Using appropriate algorithm for stock market prediction
> Backtesting and preventing over-fitting
> Creating a profit function for …