A collection of curated internet content that I find interesting or very useful. It helps me refer back to them when needed and also helps other with similar interests.
Programming
Machine Learning
Blogs
PhD Guides
Useful error fixes
The bare minimum every programmer needs to know about encoding of strings
A 7 part tutorial by the developer of Pandas himself
A python equivalent to the ggplot plotting library
You are probably using vim tabs the wrong way
guide to file browser in vim
Render latex equations in Hugo
A collection of notes explaing aspects of Deep Learning
An introduction to Neural Nets from scratch
Andrej Karpathy gives a very intutive tutorial on Neural Nets
depthwise separable convolutions
detailed description on differenty types of convolutions
what is maxpooling - 1st answer
A concise explanation of LSTMs
attention mechanisms in DL
detailed notes for stanford course cs228
CS231n class notes
PyTorch implementations of various deep networks with explanation
An up-to-date collection of all HD related papers
Useful and practical blog about various things
Andrej Karpathy's writings on Deep Learning
Life in academia, tech, surviving PhD
An illustration of what a PhD entails
Karpathy's experiences in his PhD
The infamous PhD guide by Philip Guo
A stellar guide and must read by Marie desJardins
Fix vim colors on tmux
No xauth data; fake data error