Pinned Repositories
agency-loan-level
Loan-level analysis of Fannie Mae and Freddie Mac data
aima-julia
Julia implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
aima-scala
alphafold
Open source code for AlphaFold.
AlphaZero.jl
A generic, simple and fast implementation of Deepmind's AlphaZero algorithm.
baseballdatabank
Development for baseball databank, an Open Data collection of historical baseball data
basic_reinforcement_learning
An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
Bayesian-Analysis-with-Python
Bayesian Analysis with Python by Packt
Bayesian_Statistics_Michaelmas_2021
MATH3341/4031 Bayesian Statistics III/IV
divassanwal's Repositories
divassanwal/alphafold
Open source code for AlphaFold.
divassanwal/AlphaZero.jl
A generic, simple and fast implementation of Deepmind's AlphaZero algorithm.
divassanwal/Bayesian_Statistics_Michaelmas_2021
MATH3341/4031 Bayesian Statistics III/IV
divassanwal/BDA_course_Aalto
Bayesian Data Analysis course at Aalto
divassanwal/BDA_py_demos
Bayesian Data Analysis demos for Python
divassanwal/BehavioralDataAnalysis
Support files for the O'Reilly book "Behavioral Data Analysis with R and Python" by Florent Buisson
divassanwal/cvxbook_additional_exercises
Additional exercises and data for EE364a. No solutions; for public consumption.
divassanwal/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.
divassanwal/deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
divassanwal/delta
An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs for Scala, Java, Rust, Ruby, and Python.
divassanwal/garage
A toolkit for reproducible reinforcement learning research.
divassanwal/interpret
Fit interpretable models. Explain blackbox machine learning.
divassanwal/JustEnoughScalaForSpark
A tutorial on the most important features and idioms of Scala that you need to use Spark's Scala APIs.
divassanwal/keras-rl
Deep Reinforcement Learning for Keras.
divassanwal/Machine_Learning_and_Neural_Networks_III_Epiphany_2023
MATH3431 - Machine Learning and Neural Networks III
divassanwal/MIT_1806-
18.06 course at MIT
divassanwal/MIT_18335
18.335 - Introduction to Numerical Methods course
divassanwal/mlflow
Open source platform for the machine learning lifecycle
divassanwal/ncsn
Noise Conditional Score Networks (NeurIPS 2019, Oral)
divassanwal/pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
divassanwal/pfhedge
PyTorch-based framework for Deep Hedging
divassanwal/pml-book
"Probabilistic Machine Learning" - a book series by Kevin Murphy
divassanwal/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 ;)
divassanwal/programming-scala-book-code-examples
The code examples used in Programming Scala, 2nd and 3rd Editions (O'Reilly)
divassanwal/python-cheatsheet
Comprehensive Python Cheatsheet
divassanwal/ReinforcementLearning.jl
A reinforcement learning package for Julia
divassanwal/tabnet
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
divassanwal/tf-quant-finance
High-performance TensorFlow library for quantitative finance.
divassanwal/The-C-20-Masterclass-Source-Code
Source code for the C++ 20 Masterclass on udemy
divassanwal/Topics_in_Statistics_Michaelmas_2020
Topics in Statistics III/IV (MATH3361/4071) Michaelmas term 2020