a hell lot of more grinding. I want to hit 10 hours today!
Log in to leave a comment
a hell lot of more grinding. I want to hit 10 hours today!
Log in to leave a comment
grinded half of the dp section in cses
Log in to leave a comment
I grinded a bit on segment trees. saved beats for later
Log in to leave a comment
I have been grinding for a while. I have finished a huge portion of the stuff!
Log in to leave a comment
So today I worked more on the Representation learning part. I create embeddings by using an AutoEncoder on the music. The embeddings are the output of the bottleneck layer. I also clustered the embeddings using DBSCAN (I did not use K-Means because I did not want to assume anything about the data distribution).
The plan for tomorrow is to work on the part where we improve the clustering. Right now I am thinking of doing deep clustering. So deep clustering is basically first getting the clusters of all the embeddings and then training the model not only to reconstruct the input but also to classify the cluster in a multi-task learning wise fashion. How does this help? Well doing this will decrease the distance between elements of the same cluster and increase the distance between different clusters (hopefully). We then recluster and run the cycle multiple times, in the end we get a neural network that gives embeddings that have clusterable patterns. After getting the patterns, I have some interesting plans! (follow the project for more updates)
yours,
Raj
Log in to leave a comment
Here is what I did today:
I got the audio encoding done part. I first split the audio into small segments, after this Constant-Q transform is applied to these segments to make them into a format that a neural network can process. The images are the visualization of 2 songs (one of them is never gonna give you up, so you got rick rolled).
What is this project about you might ask, well ill try to explain it. What im trying to do is to take the patterns that can be found in music, and then use these patterns to create tabular data, The end goal is to crank out as many datasets as possible so that I could become a grandmaster in kaggle!
Log in to leave a comment
got the setup done, thanks to colab I dont have to worry about GPU!
Log in to leave a comment
Been a while guys, today I did fenwick tree. ill do problems tomorrow!
Log in to leave a comment
Baseline Le Nouveau is getting ready guys!
Log in to leave a comment
worked a bit on this, though not as much as before. holidays are starting so I should be able to increase my grind time hopefully!
Log in to leave a comment
closing up for today, finished the baselines, ready for tomorrow’s sprint round!
Log in to leave a comment
I got the baseline player to work (finally). now im making some changes to make it perform better!
Log in to leave a comment
This is it for today, I mostly finished the baseline robot for my team to work on. This will provide a starting pipeline so that further changes could be made. I only could not get some parts to work on which I will work tomorrow.
Log in to leave a comment
building the baseline lets get cooking!
Log in to leave a comment
Now that I have completed about 20 problems in floyd-warshall. I think I’m ready to go for special graphs, Ill grid till 10 pm then Ill go for battle code grind
Log in to leave a comment
lets go, a new day and lets start cooking, I need to finish floyd-warshall by today!
Log in to leave a comment
make sure u understand the dynamic programming first TT
thanks for the support @aneezakiran07