Source File: submodules.py From DeeperInverseCompositionalAlgorithm with MIT License 6 votes def initialize_weights(modules, method='xavier'): for m in modules: if isinstance(m, nn.Conv2d): if m.bias is not None: m.bias.data.zero_() if method == 'xavier': init.xavier_uniform_(m....
Algorithm 8.5 Uniform sampling. Sign in to download full-size image Sign in to download full-size image Fig. 8.3. Sample roadmap produced by a uniform sampler. 8.3.2 Obstacle-based sampling The problem with the uniform sampling is that the search happens in the entire free configuration space...
The sampling algorithm is an iterative process based on Nearest Neighbour search. In each iteration, the dataset is normalized with the standard scaler (mean = 0, standard deviation = 1) and a nearest-neighbour model is constructed and queried to find the nearest neighbor for each data point ...
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Python==3.7.10, Pytorch==1.7.1, CUDA==10.2, cuDNN==7.6.5 Dataset CIFAR-10 can be automatically downloaded using this code. ImageNet needs to be manually downloaded andhereare some instructions. Usage Train a supernet on the CIFAR-10 dataset by simply running: ...
Since SRURGS outputs equations as a string of python code, any symbolic regression platform should be able to use the benchmarks. 1.6 Symbolic regression search space The symbolic regression search space is discrete and discontinuous. Moreover, the search space has a large number of duplicate ...
Several libraries in Python, for instance, perform lemmatization, but they have to be tested as their performance significantly differs. Processing text has many applications as now as typing the writer may receive word suggestions. Text classification is one common application to detect email spam, ...
A combinatorial search-based optimization algorithm is employed to find the optimal set of interpolation points for a set of functions while also considering non-uniform distributions. The proposed solution is accompanied by a Python-based HW generator, that facilitates the process of deploying software...
search_diffussion.py is used to search the sequence of time steps with the evolutionary algorithm. Users can use it in the inference process. P.S. The author is so lazy that he doesn't want to write down more instructions. Languages ...
The web page [9] contains Python programs for drawing hyperbolic tilings based on reflecting a fundamental triangular region repeatedly in three mirrors along its edges; however, this allows only three different kinds of regular hyperbolic polygons plus truncation. Moreover, it is slow, as the ...