pilooch

12 ms·

121.
by pilooch 8y ago
Interesting DB for feature storage and LSH is good choice I believe. I'm wondering why the tight link to pytorch C++ tensors (under refactoring actually), bit I haven't looked at the euclidendb code yet. Thanks for sharing ! Those
122.
by pilooch 8y ago
For a programmatic view we use https://github.com/jolibrain/gpustat_server
123.
by pilooch 8y ago
What do you mean exactly ? I've been running a machine learning / reinforcement / optimization service company since 2015 and our customers range from the largest EU corps to small and mid size startups. If you mean how many
124.
by pilooch 8y ago
Let's wait and see how the new RTX cards with tensorcores do behave... Converting from and back to fp32 is welcome.
125.
Deep Learning and Free Software(lwn.net)
101 points by pilooch 8y ago|40 comments
126.
by pilooch 8y ago
I do, with others, a lot of ML anomaly detection in the cyber security context. Deeply has interesting ideas, especially the encoded logs via lstm. The work was presented at a workshop at NIPS 2017. One of the interesting facts we ve been a
127.
by pilooch 8y ago
Figar, a simple enhancement to the deep net heads behind the RL mechanism fixes the jitter for most Atari games as far as I have tested it. See https://openreview.net/forum?id=B1GOWV5eg and https://github.com&#x2
128.
by pilooch 8y ago
Oops, missread for https://modelzoo.co/
129.
by pilooch 8y ago
I had the same reaction. I don't like it too much when sites copy up information and only link to original content at the bottom of the page. The collection is good though, it's sad that it looks like it is stealing from the sourc
130.
by pilooch 8y ago
For deep learning, deepdetect can be useful in dev and prod phase.
131.
by pilooch 8y ago
We built our own 160 tflop (multi machine) GPU setup for ~20k€. Granted, it's not the same quality level as the hgx2, but that gives a reference point for computing power costs nowadays.
132.
by pilooch 8y ago
I run a machine learning company in France. Call it a startup or not, doesn't matter. Most of what I read in the comments here is not exactly true nor relies on statistics (sound like my story is...). For companies acting within the sc
133.
by pilooch 8y ago
MDPs are the core holistic framework for decision under uncertainty, especially pomdps and dec-pomdps. That and the various forms of the Bellman equation are with your attention. RL is a model free MDP.
134.
by pilooch 8y ago
Dont do this in production without backup tools but we use unsupervised learning for anomaly detection. We're machine learnists so this is natural for us and we originally built the system for a mega Corp and made it open source (thou
135.
by pilooch 8y ago
Look at Unity ML agents if you haven't already.
136.
by pilooch 9y ago
Many thanks for the thorough answer! Will read and ask questions if any. We have customers we help quantize the models for their FPGAs and this may be an avenue we could test.
137.
by pilooch 9y ago
Interesting, any public pointer to your dissertation ?
138.
by pilooch 9y ago
You can setup a feature based image search engine or image object search engine with Open Source libraries, a few additional lines of Python, and a couple of pre-trained models, see https://github.com/beniz/deepdetect&#
139.
by pilooch 9y ago
We use DeepDetect everywhere. I started coding it up in 2015 out of immediate need for my customers in production at the time and waited for something else to come out. But until now, we've sticked to it and customers ask for it when t
140.
by pilooch 9y ago
No but you'll ready yourself for the (geometric) programming of the next twenty years or so.
141.
by pilooch 9y ago
C++ is the language of deep learning. Python is the scripting language on top of it.
142.
by pilooch 9y ago
Fact is though that instead of coding up an object detector, the machine is doing it now. This job is now being controlled by ML personnel, not (yet) your standard programmer. What is left is glue code and architecture, at least for some ti
143.
by pilooch 9y ago
Key to annotation is using pre trained or partially trained object detectors along with similarity search to quickly highlight unlabelled, similar objects in a dataset. Think of group labelling instead of labeling one object at a time. One
144.
by pilooch 9y ago
Fastext is faster but does not beat vdcnn and other deep architectures. It all depends on the use case really.
145.
by pilooch 9y ago
See https://github.com/jolibrain/dd_performances you can reach 1fps on image classification and objects detection tasks on rpie3 with custom caffe and models.
146.
by pilooch 9y ago
rcnn is two steps and ssd is single step.
147.
by pilooch 9y ago
See the Google blog post from last summer, https://research.googleblog.com/2017/08/transformer-novel-ne... A novel simplified architecture for sequences and translation.
148.
by pilooch 9y ago
After three attempts at designing an ML rest-lile API, I ended up writing the deepdetect's API. Never touched its fundamentals since mid 2015. Very very far from perfect but has served great til now!
149.
by pilooch 9y ago
ML is gonna be the next commodity on the stack. It takes time, but considering some of the complexity, I'm impressed by the speed at which this is becoming reality.
150.
by pilooch 9y ago
Let's minimize the loss

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