kastnerkyle.github.io
Archive | Garbage In Garbage Out
http://kastnerkyle.github.io/archive.html
Skip to main content. Garbage In Garbage Out. Projects I Am Involved In. Contents 2016 Kyle Kastner.
fastml.com
Links - FastML
http://fastml.com/links
Machine learning made easy. A couple of pages we occasionaly read:. GitHub meets Arxiv, or machine learning papers with code. Heavy focus on deep learning. An Armenian blog on neural networks. Delip Rao recently started blogging, looks good so far. Https:/ jmetzen.github.io. Jan Hendrik Metzen has a blog on machine learning and python. We posit that you’re gonna like it. Http:/ www.inference.vc. Ferenc Huszar explains some deep learning papers he liked. Https:/ jakevdp.github.io/. Paul Mineiro, at. It an...
kastnerkyle.github.io
Wavelets | Garbage In Garbage Out
http://kastnerkyle.github.io/posts/wavelets
Skip to main content. Garbage In Garbage Out. Projects I Am Involved In. Wavelets are a fundamental part of modern signal processing and feature engineering. Utilizing well developed basis functions with certain mathematical properties, rather than the more typical sines and cosines used for the DFT (discrete fourier transform) and DCT (discrete cosine transform), wavelet analysis has many interesting applications. Wavelets have been used extensively for denoising. Sunspots.csv already downloaded! Functi...
kastnerkyle.github.io
Single Speaker Word Recognition With Hidden Markov Models | Garbage In Garbage Out
http://kastnerkyle.github.io/posts/single-speaker-word-recognition-with-hidden-markov-models
Skip to main content. Garbage In Garbage Out. Projects I Am Involved In. Single Speaker Word Recognition With Hidden Markov Models. Hidden Markov Models (HMMs) are powerful, flexible methods for representing and classifying data with trends over time, and have been a key component in speech recognition systems for many years. Which holds the HMM implementations that were formerly a part of sklearn. Other available datasets are largely multispeaker, but the simple frequency peak features used in this exam...
economicpresence.com
Economic Presence - Paradox found
http://www.economicpresence.com/paradox-found.html
Vancouver and Toronto housing markets are showing more signs of overheating. Cost Reductions and Productivity increases in LTO continue. 8203;Another bright spot has been the results of new fluids Crescent Point has been using to help extract oil from the Viewfield Bakken formation in southeastern Saskatchewan. In tests last year, the fluids improved initial 90-day oil production rates by about 50 per cent.Saxberg did not divulge details about the fluids because they are "proprietary.". The course is tak...
kastnerkyle.github.io
Robust Matrix Decomposition | Garbage In Garbage Out
http://kastnerkyle.github.io/posts/robust-matrix-decomposition
Skip to main content. Garbage In Garbage Out. Projects I Am Involved In. There has been a heavy focus on random projections in recent algorithms, which can often lead to increased stability and computationally efficient solutions. Below is a link to the GoDec algorithm output, as applied to the "Hall" video (shown below) found in this zip file. And we will set up a simple download function for ease-of-access. Special thanks to @kuantkid. PRETTY. DANG. AWESOME. Download files from http:/ perception.i2...
iamaaditya.github.io
Notes – Aaditya Prakash (Adi) – Random musings of a deep learning grad student
http://iamaaditya.github.io/notes
Random musings of a deep learning grad student. This page is used to collect notes. I use this to share relevant notes, links and documents with my friends and colleagues. Feel free to browse them. If you landed on this page looking for specific information or link and could not find it then please let me know aprakash @ brandeis . edu. General purpose GPU Computing and CUDA. Nov 30, 2015. RNN, LSTM, NTM, GRU, RMVA, OMG! Nov 18, 2015. Value of a feature. October 19, 2015. October 7, 2015. May 2, 2016.
kastnerkyle.github.io
Bad Speech Synthesis Made Simple | Garbage In Garbage Out
http://kastnerkyle.github.io/posts/bad-speech-synthesis-made-simple
Skip to main content. Garbage In Garbage Out. Projects I Am Involved In. Bad Speech Synthesis Made Simple. Speech synthesis is a core component of many modern products - turn by turn navigation, automatic personal assistants/search like Siri and Alexa, and even the voices of AI/robots/people in computer games and movies are (in some cases) generated by speech synthesis systems. But how are these systems built? How can we make computers reply to our requests (and demands) using speech? This seemed to be t...
kastnerkyle.github.io
Using PyTables for Larger-Than-RAM Data Processing | Garbage In Garbage Out
http://kastnerkyle.github.io/posts/using-pytables-for-larger-than-ram-data-processing
Skip to main content. Garbage In Garbage Out. Projects I Am Involved In. Using PyTables for Larger-Than-RAM Data Processing. HDF5 is a direct, easy path to "big" (or just annoyingly larger than RAM) data in scientific python. Using the HDF5 file format and careful coding of your algorithms, it is quite possible to process "big-ish" data on modest hardware, and really push your resources to the limit before moving to larger, fancier distributed platforms. Make random cluster points. PyTables is a package ...
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