spurthy111's Stars
remicnrd/ml_cheatsheet
A 5-pages only Machine Learning cheatsheet focusing on the most popular algorithms under the hood
jdidion/biotools
A list of useful bioinformatics resources
LMescheder/GAN_stability
Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"
albertpumarola/deep-learning-notes
My CS231n lecture notes
albertpumarola/GANimation
GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]
NTMC-Community/MatchZoo
Facilitating the design, comparison and sharing of deep text matching models.
dongjun-Lee/text-classification-models-tf
Tensorflow implementations of Text Classification Models.
bendangnuksung/Image-OutPainting
🏖 Keras Implementation of Painting outside the box
bansalkanav/python_notes
tdpetrou/Learn-Pandas
Tutorials on how to use pandas effectively to do data analysis
crazyhottommy/ChIP-seq-analysis
ChIP-seq analysis notes from Ming Tang
rossant/awesome-math
A curated list of awesome mathematics resources
llSourcell/Learn_Blockchain_in_2_months
This is the code for "Learn Blockchain in 2 Months" by Siraj Raval on Youtube
llSourcell/learn_math_fast
This is the Curriculum for "How to Learn Mathematics Fast" By Siraj Raval on Youtube
llSourcell/Learn_Computer_Science_in_5_Months
This is the Curriculum for "Learn Computer Science in 5 Months" By Siraj Raval on Youtube
llSourcell/Learn_Deep_Learning_in_6_Weeks
This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube
karpathy/arxiv-sanity-preserver
Web interface for browsing, search and filtering recent arxiv submissions
llSourcell/Learn_Machine_Learning_in_3_Months
This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube
danielmoniz/learn_python_the_hard_way
mvaniterson/wbccPredictor
predict white blood cell count composition in whole blood derived DNA methylation or RNAseq data
molepi/DNAmArray
kn3in/mRnd
Power calculations for Mendelian Randomisation
floodsung/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
terryum/awesome-deep-learning-papers
The most cited deep learning papers
aymericdamien/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
cran/glmnet
:exclamation: This is a read-only mirror of the CRAN R package repository. glmnet — Lasso and Elastic-Net Regularized Generalized Linear Models. Homepage: https://glmnet.stanford.edu
ggplot2-exts/ggplot2-exts.github.io
A list of ggplot2 extensions
rafalab/rafalab.github.io
web page
seandavi/ci4cc-informatics-resources
Community-maintained list of resources that the CI4CC organization and the larger cancer informatics community have found useful or are developing.