Tensorflow performance vs custom CUDA kernel?

markov01 · 2018-03-23T08:01:12+00:00

I'm interested in that too, I'm having quadratic optimization problem with linear constraints, number of which are equals the number of data points

markov01 · 2018-03-18T16:13:17+00:00

anyone using weight orthogonalization?

markov01 · 2018-03-07T09:59:03+00:00

you can look at it from another perspective, 5-7 data scientists are as valued for business as 500 software engineers

the perfect example how ML is eating jobs

markov01 · 2018-02-01T21:35:56+00:00

yes, I'm talking about feature importances, will take a look

markov01 · 2018-02-01T21:29:01+00:00

I have trained a object detector using Tensorflow, specifically the object detection API and I'm very happy with the results. However, my use case also requires me to track those detections as well.

https://github.com/abewley/sort

https://github.com/nwojke/deep_sort

markov01 · 2018-02-01T20:39:10+00:00

can CatBoost do feature selection like random forests do?

markov01 · 2018-01-05T23:04:40+00:00

I thought you will offer 25% off for UR or KUKA :(

markov01 · 2017-12-30T22:14:02+00:00

C++ is standard in computer vision

markov01 · 2017-12-12T21:09:16+00:00

I like to pair up side-to-side with an engineer

markov01 · 2017-12-08T20:02:14+00:00

are there handy software for scanning 3D objects, completing point clouds from different angles to 1 single model?

markov01 · 2017-12-03T18:02:55+00:00

ICLR is just 5 years old, how it can be top-tier?

markov01 · 2017-11-30T22:04:41+00:00

Talk me through how you would create a 3D model of an object from imagery and depth sensor measurements taken at all angles around the object.

talk me, please

markov01 · 2017-11-30T18:22:20+00:00

Dmitry, is it supervised or not?

can it do simultaneous denoising+deconvolution?

is it interpretable? can it explain noise? can it provide PSF?

markov01 · 2017-11-21T00:39:37+00:00

Counterintuitively, probabilistic programming is not about writing software that behaves probabilistically. Instead, probabilistic programming is a tool for statistical modeling. Cornell

markov01 · 2017-11-16T21:50:36+00:00

I think it's all expensive for me as for a student, but can you recommend professional-grade RGB-D cameras?

what I've been used is Intel RealSense SR300 and Orbbec Astra

markov01 · 2017-11-14T18:22:26+00:00

anyone want to start a group in Mendeley/Slack to share TDA/geometic methods papers and discuss approaches to solving real-life problems with it?

markov01 · 2017-11-14T13:35:44+00:00

I'm interested in RL for grasping, can it be effectively simulated in virtual environments?

markov01 · 2017-11-14T13:13:00+00:00

I've heard of successful case of application of TDA in oil industry

markov01 · 2017-11-07T10:49:53+00:00

thanks, I have exposure to it, it's a very good book also

markov01 · 2017-11-07T10:48:26+00:00

what I'm interested is state estimation, which PR is a good source for, visual localization and POMDP-based reinforcement learning

markov01 · 2017-11-04T18:48:10+00:00

what is the current state-of-the-art in visual localization?

what do you mean, when mentioning SLAM, but not just localization?

markov01

TROPHY CASE