misc

readme.md

@@ -22,6 +22,11 @@ I've also made lots of tweaks for flexibility and stability and [replicated the
 
 It's not heavily documented, because most of my code never gets read or used. If you are using it, and it's confusing, make a github issue are we will add comments or docs together.
 
+```sh
+git clone
+git-lfs pull
+```
+
 
 - [Neural Processes for sequential data](#neural-processes-for-sequential-data)
   - [Experiment: Comparing models on real world data](#experiment-comparing-models-on-real-world-data)
@@ -41,8 +46,6 @@ It's not heavily documented, because most of my code never gets read or used. If
   - [ANP-RNN diagram](#anp-rnn-diagram)
   - [Tips](#tips)
   - [See also:](#see-also)
-- [<<<<<<< HEAD](#head)
-- [- 2018-07-04, "Conditional Neural Processes" [code](https://github.com/deepmind/neural-processes)](#ul-li2018-07-04-%22conditional-neural-processes%22-codeli-ul)
 - [Citing](#citing)
 
 
@@ -228,25 +231,17 @@ I'm very grateful for all these authors for sharing their work. It was a pleasur
 
 Neural process papers:
 
-<<<<<<< HEAD
-=======
 - [2019-12-12, "Probing Uncertainty Estimates of Neural Processes"](http://bayesiandeeplearning.org/2019/papers/125.pdf)
->>>>>>> e2e96cfe857561e5b3d53d24927c9dbaf655ae42
 - [2019-10-17, "Recurrent Attentive Neural Process for Sequential Data"](https://arxiv.org/abs/1910.09323) - LSTM on X before encoder, no code
 - [2019-10-29, "Convolutional Conditional Neural Processes"](https://arxiv.org/abs/1910.13556). [code](https://github.com/cambridge-mlg/convcnp)
 - [2019-10-01, "Wasserstein Neural Processes"](https://arxiv.org/abs/1910.00668) would be helpfull if the output dist never converges for your problem
 - [2019-08-08, "Spatiotemporal Modeling using Recurrent Neural Processes"](https://www.ri.cmu.edu/wp-content/uploads/2019/08/msr_thesis_document.pdf) (infilling spatial information, using a RNN for time information, no code)
 - [2019-06-13, "Recurrent Neural Processes"](https://arxiv.org/abs/1906.05915) (2d and 3d over time, using LSTM in encoder/decoder, no code)
 - [2019-06-19, "The Functional Neural Processes"](https://arxiv.org/abs/1906.08324)
-<<<<<<< HEAD
-- [2019-01-17, "Attentive Neural Processes"](https://arxiv.org/abs/1901.05761) (using attention to prevent underfitting) [code](https://github.com/deepmind/neural-processes)
-- [2018-07-04, "Conditional Neural Processes"](https://arxiv.org/abs/1807.01613) [code](https://github.com/deepmind/neural-processes)
-=======
 - [2018-12-03, "Empirical Evaluation of Neural Process Objectives"](http://bayesiandeeplearning.org/2018/papers/92.pdf)
 - [2019-01-17, "Attentive Neural Processes"](https://arxiv.org/abs/1901.05761) (using attention to prevent underfitting) [code](https://github.com/deepmind/neural-processes)
 - [2018-07-04, "Conditional Neural Processes"](https://arxiv.org/abs/1807.01613) [code](https://github.com/deepmind/neural-processes)
 - [2019-06-24, "Sequential Neural Processes"](https://arxiv.org/abs/1906.10264) [code](https://github.com/singhgautam/snp) modelling a 1 or 2d process evolving over time
->>>>>>> e2e96cfe857561e5b3d53d24927c9dbaf655ae42
 - [2018-07-04, "Neural Processes"](https://arxiv.org/abs/1807.01622)
 
 Blogposts: