Goals: Add links that are reasonable and good explanations of how stuff works. No hype and no vendor content if possible. Practical first-hand accounts of models in prod eagerly sought.
Nikhil Mitra nikhilmitrax
honnibal
/ theano_mlp_small.py
Last active
March 1, 2023 15:10
Stripped-down example of Multi-layer Perceptron MLP in Theano
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| """A stripped-down MLP example, using Theano. | |
| Based on the tutorial here: http://deeplearning.net/tutorial/mlp.html | |
| This example trims away some complexities, and makes it easier to see how Theano works. | |
| Design changes: | |
| * Model compiled in a distinct function, so that symbolic variables are not in run-time scope. | |
| * No classes. Network shown by chained function calls. |
debasishg
/ gist:8172796
Last active
May 10, 2024 13:37
A collection of links for streaming algorithms and data structures
- Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
- Models and Issues in Data Stream Systems
- Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
- Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
- [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t