profile
viewpoint
If you are wondering where the data of this site comes from, please visit https://api.github.com/users/mnick/events. GitMemory does not store any data, but only uses NGINX to cache data for a period of time. The idea behind GitMemory is simply to give users a better reading experience.

mnick/holographic-embeddings 163

Code for experiments in the AAAI 2016 paper "Holographic Embeddings of Knowledge Graphs"

mnick/10c 6

10c - Tensor conversion tools for large multigraphs and semantic web data

mnick/pdf.js 2

PDF Reader in JavaScript

mnick/doom-emacs 1

An Emacs configuration for the stubborn martian vimmer

mnick/hsparse 1

Haskell library for spare vector and matrix operations

mnick/nt2gexf 1

Simple N-Triples to GEXF (Graph Exchange XML Format) converter

mnick/ol-twittering 1

Capture org-mode links to tweets from twittering-mode

mnick/powerline 1

The ultimate statusline/prompt utility.

mnick/qutebrowser 1

A keyboard-driven, vim-like browser based on PyQt5 and QtWebKit.

lematt1991/covid19-forecast-hub 0

Projections of COVID-19, in standardized format

release tmux-python/libtmux

v0.10.0

released time in 2 days

release tmux-python/libtmux

v0.8.5

released time in 4 days

release tmux-python/libtmux

v0.8.4

released time in 4 days

issue openedfacebookresearch/hypernymysuite

The $OMER_URL is unavailable

Hi! The url (http://u.cs.biu.ac.il/~nlp/wp-content/uploads/lexical_inference.zip) in download_data.sh for BLESS and LEDS seems unavailable now. It returns 403 forbidden when trying to access. I wonder if there is any suggestion on a replacement? Thanks!

created time in 6 days

release hakimel/reveal.js

4.1.2

released time in 9 days

PR closed facebookresearch/neural_stpp

minor bugfix

Some typos in the code as I see them. Thanks.

+3 -3

2 comments

2 changed files

yifeim

pr closed time in 13 days

pull request commentfacebookresearch/neural_stpp

minor bugfix

#7

yifeim

comment created time in 13 days

issue commentfacebookresearch/neural_stpp

two typos

#6

yifeim

comment created time in 13 days

issue openedfacebookresearch/neural_stpp

two typos

Hi,

I am converting the PR into an issue. I am also seeking long-term advice for working with noncommercial licenses for academic purposes.

Thanks, Yifei

created time in 13 days

startedmnick/vim-pomodoro

started time in 15 days

pull request commentfacebookresearch/neural_stpp

minor bugfix

Hi @yifeim!

Thank you for your pull request and welcome to our community.

Action Required

In order to merge any pull request (code, docs, etc.), we require contributors to sign our Contributor License Agreement, and we don't seem to have one on file for you.

Process

In order for us to review and merge your suggested changes, please sign at https://code.facebook.com/cla. If you are contributing on behalf of someone else (eg your employer), the individual CLA may not be sufficient and your employer may need to sign the corporate CLA.

Once the CLA is signed, our tooling will perform checks and validations. Afterwards, the pull request will be tagged with CLA signed. The tagging process may take up to 1 hour after signing. Please give it that time before contacting us about it.

If you have received this in error or have any questions, please contact us at cla@fb.com. Thanks!

yifeim

comment created time in a month

PR opened facebookresearch/neural_stpp

minor bugfix

Some typos in the code as I see them. Thanks.

+3 -3

0 comment

2 changed files

pr created time in a month

issue openedfacebookresearch/neural_stpp

neural ode backpropagation error

I'm running this code for the earthquake data and had to do some readjustments as now I'm also including depth in the dataset so spatial locations are now 3d (instead of being 2d: lat and long)

Now I'm facing this issue which is due to backpropagation through the neural ode (odjoint_ode) and I really have no idea what the problem is. Can someone help me with this?

-- Process 0 terminated with the following error: Traceback (most recent call last): File "/opt2/software/Anaconda3/2020.11/lib/python3.8/site-packages/torch/multiprocessing/spawn.py", line 59, in _wrap fn(i, *args) File "/home/ne12/Downloads/neural_stpp-main/train_stpp.py", line 145, in main _main(rank, world_size, args, savepath, logger) File "/home/ne12/Downloads/neural_stpp-main/train_stpp.py", line 370, in _main loss.backward() File "/opt2/software/Anaconda3/2020.11/lib/python3.8/site-packages/torch/tensor.py", line 245, in backward torch.autograd.backward(self, gradient, retain_graph, create_graph, inputs=inputs) File "/opt2/software/Anaconda3/2020.11/lib/python3.8/site-packages/torch/autograd/init.py", line 145, in backward Variable._execution_engine.run_backward( File "/opt2/software/Anaconda3/2020.11/lib/python3.8/site-packages/torch/autograd/function.py", line 89, in apply return self._forward_cls.backward(self, *args) # type: ignore File "/opt2/software/Anaconda3/2020.11/lib/python3.8/site-packages/torchdiffeq/_impl/adjoint.py", line 126, in backward aug_state = odeint( File "/opt2/software/Anaconda3/2020.11/lib/python3.8/site-packages/torchdiffeq/_impl/odeint.py", line 77, in odeint solution = solver.integrate(t) File "/opt2/software/Anaconda3/2020.11/lib/python3.8/site-packages/torchdiffeq/_impl/solvers.py", line 28, in integrate self._before_integrate(t) File "/opt2/software/Anaconda3/2020.11/lib/python3.8/site-packages/torchdiffeq/_impl/rk_common.py", line 161, in _before_integrate f0 = self.func(t[0], self.y0) File "/opt2/software/Anaconda3/2020.11/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl result = self.forward(*input, **kwargs) File "/opt2/software/Anaconda3/2020.11/lib/python3.8/site-packages/torchdiffeq/_impl/misc.py", line 191, in forward return self.base_func(t, y) File "/opt2/software/Anaconda3/2020.11/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl result = self.forward(*input, **kwargs) File "/opt2/software/Anaconda3/2020.11/lib/python3.8/site-packages/torchdiffeq/_impl/misc.py", line 159, in forward return self.mul * self.base_func(-t, y) File "/opt2/software/Anaconda3/2020.11/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl result = self.forward(*input, **kwargs) File "/opt2/software/Anaconda3/2020.11/lib/python3.8/site-packages/torchdiffeq/_impl/misc.py", line 138, in forward f = self.base_func(t, _flat_to_shape(y, (), self.shapes)) File "/opt2/software/Anaconda3/2020.11/lib/python3.8/site-packages/torchdiffeq/_impl/adjoint.py", line 93, in augmented_dynamics _params = tuple(torch.as_strided(param, (), ()) for param in adjoint_params) # noqa File "/opt2/software/Anaconda3/2020.11/lib/python3.8/site-packages/torchdiffeq/_impl/adjoint.py", line 93, in <genexpr> _params = tuple(torch.as_strided(param, (), ()) for param in adjoint_params) # noqa RuntimeError: setStorage: sizes [], strides [], storage offset 0, and itemsize 4 requiring a storage size of 4 are out of bounds for storage of size 0

created time in a month

startedmnick/scikit-kge

started time in a month

MemberEvent

fork chrisdone/codex

UI experiments for coda

fork in a month

fork chrisdone/flatparse

Fast parsing from bytestrings

fork in a month

startedmnick/scikit-kge

started time in 2 months

startedmnick/scikit-kge

started time in 2 months

issue closedfacebookresearch/neural_stpp

Hawkes Process implementation is giving negative Loss

https://github.com/facebookresearch/neural_stpp/blob/4258cee81b40e7573bd8289a74c0006d8eace722/models/temporal/basic.py#L37

Hawkes process is giving negative loss because loglik is becoming greater than compensator.

closed time in 2 months

tonygracious

issue openedfacebookresearch/neural_stpp

Hawkes Process implementation is giving negative Loss

https://github.com/facebookresearch/neural_stpp/blob/4258cee81b40e7573bd8289a74c0006d8eace722/models/temporal/basic.py#L37

Hawkes process is giving negative loss because loglik is becoming greater than compensator.

created time in 2 months

fork TianhaoFu/scikit-tensor

Python library for multilinear algebra and tensor factorizations

fork in 2 months

startedmnick/vim-pomodoro

started time in 2 months

fork Azures729/scikit-tensor

Python library for multilinear algebra and tensor factorizations

fork in 2 months

issue openedfacebookresearch/neural_stpp

Difficulty in understanding the class JumpCNF

https://github.com/facebookresearch/neural_stpp/blob/4258cee81b40e7573bd8289a74c0006d8eace722/models/spatial/jumpcnf.py#L29

Is it possible for the authors to include for more comments for this class. I am finding it difficult to understand the logic of your code ?

created time in 2 months

startedmnick/scikit-kge

started time in 2 months

startedmnick/scikit-kge

started time in 2 months

startedmnick/scikit-kge

started time in 2 months

fork liacov/scikit-tensor

Python library for multilinear algebra and tensor factorizations

fork in 2 months