tu-rbo / differentiable-particle-filters Goto Github PK
View Code? Open in Web Editor NEWSource code and data for the paper "Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors"
License: MIT License
Source code and data for the paper "Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors"
License: MIT License
I ran the command "python3 simple.py" but got this error
Traceback (most recent call last):
File "simple.py", line 50, in <module>
train_dpf(plot=True)
File "simple.py", line 11, in train_dpf
train_data = load_data(data_path=data_path, filename=task + '_train')
File "/home/anshqureshi/differentiable-particle-filters/utils/data_utils.py", line 47, in load_data
data[key] = np.reshape(data[key], [-1, steps_per_episode] + list(data[key].shape[1:])).astype('float32')
MemoryError
Dear Professor
Hello, I'm reproducing your experiment, but I have a question for you. Is the file under the log folder generated by training? If not, do I have to create those files myself?
Yours
Sincerely
I have followed all the steps and installed all the dependencies as mentioned here. When I run the command "python3 simple.py" this shows up
Traceback (most recent call last):
File "simple.py", line 3, in <module>
from methods.dpf import DPF
ImportError: No module named 'method'
I'm facing this same issue when I try to run every other .py file. Is it some dependency that I'm missing?
Before this I faced the error "illegal instruction (core dumped)" however that was resolved by downgrading Tensorflow to v1.5.
Hi, the dataset is not available now. Could you please give a new link
Hi Sir, what about the software environment? For example, numpy version xx and tensorflow xx.xx. Thanks for your help.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.