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**Issue**
In `hmc.Hybrid_Monte_Carlo`, both `moveGHMC()` and `moveHMC()` have the same structure except that latter just surpasses an angle in a function call.
**Resolution**
Combine both functions u…
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**Aim**
Ensure the expected high acceptance rates for the HMC algorithm. Can widely vary due to bad parameterisations.
**Implementation**
- Ensure that a threshold level of acceptance is met when HMC…
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**Aim**
To verify the acceptance rate calculation by the results in figure 1 of [1] shown below and check the acceptance rate is correct
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- Laplace Transform
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DifferentialEquations is dealing with the forward problem in Julia: predicting the model behaviour for all types of DEs and all types of solvers.
Are you planning to go into the direction of the Inve…
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This is to discuss the callback interface separate from the clutter of #5. In there we started discussing a little about coming up with a common callback interface, but didn't get very far.
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to make it run example , we sould:
1.use --training_iterations , not ----number_of_iterations
2.express the ap.tar.gz and copy the file to root like:
ubgpu@ubgpu:~/github/PyLDA$ tree
.
├── doc.dat
├…
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Since reversePush is not tail recursive, it results in a stack overflow for even simple networks when you push in a lot of data/use a bunch of memory. Here's the code I used to produce this (backprop …