Pinned Repositories
applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
awesome-causality-algorithms
An index of algorithms for learning causality with data
Bios8366
Advanced Statistical Computing at Vanderbilt University's Department of Biostatistics
causal-ml
Must-read papers and resources related to causal inference and machine (deep) learning
char-rnn
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
Computer-Graphics
Introduction to Computer Graphics Assignments.
cvpr2015
data-centric-deep-learning
Public repository for the "Data-Centric Deep Learning" course taught by Mike Wu and Andrew Maas. Available at https://corise.com/course/data-centric-deep-learning.
notes-on-topics
Notes on papers/code in various topics.
pyfac
Python implementation of Sum-Product for Factor Graphs
dksahuji's Repositories
dksahuji/notes-on-topics
Notes on papers/code in various topics.
dksahuji/pyfac
Python implementation of Sum-Product for Factor Graphs
dksahuji/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
dksahuji/awesome-causality-algorithms
An index of algorithms for learning causality with data
dksahuji/Bios8366
Advanced Statistical Computing at Vanderbilt University's Department of Biostatistics
dksahuji/causal-ml
Must-read papers and resources related to causal inference and machine (deep) learning
dksahuji/char-rnn
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
dksahuji/Computer-Graphics
Introduction to Computer Graphics Assignments.
dksahuji/cvpr2015
dksahuji/data-centric-deep-learning
Public repository for the "Data-Centric Deep Learning" course taught by Mike Wu and Andrew Maas. Available at https://corise.com/course/data-centric-deep-learning.
dksahuji/effective_ds_infrastructure_book
Code samples for the Effective Data Science Infrastructure book
dksahuji/flask-blog
this is my flask blog
dksahuji/full-stack-ml-metaflow-corise-week-1
dksahuji/full-stack-ml-metaflow-corise-week-2
dksahuji/full-stack-ml-metaflow-corise-week-3
dksahuji/full-stack-ml-metaflow-corise-week-4
dksahuji/Made-With-ML
Learn how to responsibly develop, deploy and maintain production machine learning applications.
dksahuji/Metrics
Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave
dksahuji/ml-surveys
📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
dksahuji/neuraltalk
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
dksahuji/practical-bandits-tutorial
dksahuji/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
dksahuji/pymc-resources
PyMC educational resources
dksahuji/reactive-machine-learning-systems
Code from the book Reactive Machine Learning Systems
dksahuji/search_engineering
Public repository for the Search Engineering course taught by Grant Ingersoll and Dave Anderson. Available at https://corise.com/course/search-engineering?utm_source=daniel.
dksahuji/search_with_machine_learning_course
Public repository for the Search with Machine Learning course taught by Daniel Tunkelang and Grant Ingersoll. Available at https://corise.com/course/search-with-machine-learning?utm_source=daniel.
dksahuji/simpleabc
A Python package for Approximate Bayesian Computation
dksahuji/stat_rethinking_2023
Statistical Rethinking Course for Jan-Mar 2023
dksahuji/statistical-rethinking
Following along with Statistical Rethinking text on Bayesian modeling by McElreath
dksahuji/Statistical-Rethinking-2023-Python-Notes
Lecture notes and python code to replicate models built throughout the course of Richard Mcelreath's 2023 Lecture Series 'Statistical Rethinking'. Relies on pymc