dushyant-mishra
Research fellow at University of Connecticut Health Science Center Farmington Connecticut USA
UCONN HealthConnecticut USA
dushyant-mishra's Stars
danielmiessler/SecLists
SecLists is the security tester's companion. It's a collection of multiple types of lists used during security assessments, collected in one place. List types include usernames, passwords, URLs, sensitive data patterns, fuzzing payloads, web shells, and many more.
kochbj/Deep-Learning-for-Causal-Inference
Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflow 2.
vbd/Fieldnotes
Public repository of my field notes from 25+ years as computer guy
SanDiegoMachineLearning/bookclub
Notes and links from the book club meetings
ColauttiLab/RCrashCourse_Book
A GitBook version of the R Crash Course self-tutorials: https://colauttilab.github.io/RCrashCourse
RILAB/statements
Successful Job Applications and Grants
TomAugspurger/effective-pandas
Source code for my collection of articles on using pandas.
mrdbourke/tensorflow-deep-learning
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
altdeep/causalML
The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML
bnsreenu/python_for_microscopists
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
LengerichLab/CompBioDatasetsForMachineLearning
A Curated List of Computational Biology Datasets Suitable for Machine Learning
aertslab/SCENICprotocol
A scalable SCENIC workflow for single-cell gene regulatory network analysis
EstherRichler/kaBLOOM
SanDiegoMachineLearning/talks
Presentations other than book club meetings
SudhakarKuma/Machine_Learning
A repository of resources for understanding the concepts of machine learning/deep learning.
rfordatascience/tidytuesday
Official repo for the #tidytuesday project
molepi/Molecular-Data-Science
FOS course Molecular Data Science
neomatrix369/awesome-ai-ml-dl
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
hhaji/Applied-Machine-Learning
Course: Applied Machine Learning
Apress/deep-learning-w-python
Source code for 'Deep Learning with Python' by Nikhil Ketkar
EbookFoundation/free-programming-books
:books: Freely available programming books
eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
GokuMohandas/Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
kmario23/deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
jeffheaton/t81_558_deep_learning
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
iNeuronai/same-resume-year-wise
This is same resume for data scientist year wise so that everyone can prepare there own resume with this reference
krishnaik06/Feature-Engineering-Live-sessions
iNeuronai/Ineuron-Arhcitecture
krishnaik06/Machine-Learning-in-90-days
krishnaik06/Computer-Vision-Advanced