Divas Sanwal (divassanwal)

divassanwal

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Divas Sanwal's repositories

alphafold

Open source code for AlphaFold.

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AlphaZero.jl

A generic, simple and fast implementation of Deepmind's AlphaZero algorithm.

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Bayesian_Statistics_Michaelmas_2021

MATH3341/4031 Bayesian Statistics III/IV

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BDA_course_Aalto

Bayesian Data Analysis course at Aalto

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BDA_py_demos

Bayesian Data Analysis demos for Python

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BehavioralDataAnalysis

Support files for the O'Reilly book "Behavioral Data Analysis with R and Python" by Florent Buisson

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cvxbook_additional_exercises

Additional exercises and data for EE364a. No solutions; for public consumption.

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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.

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deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

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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.

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garage

A toolkit for reproducible reinforcement learning research.

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interpret

Fit interpretable models. Explain blackbox machine learning.

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JustEnoughScalaForSpark

A tutorial on the most important features and idioms of Scala that you need to use Spark's Scala APIs.

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keras-rl

Deep Reinforcement Learning for Keras.

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Machine_Learning_and_Neural_Networks_III_Epiphany_2023

MATH3431 - Machine Learning and Neural Networks III

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MIT_1806-

18.06 course at MIT

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MIT_18335

18.335 - Introduction to Numerical Methods course

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mlflow

Open source platform for the machine learning lifecycle

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ncsn

Noise Conditional Score Networks (NeurIPS 2019, Oral)

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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

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pfhedge

PyTorch-based framework for Deep Hedging

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pml-book

"Probabilistic Machine Learning" - a book series by Kevin Murphy

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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 ;)

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programming-scala-book-code-examples

The code examples used in Programming Scala, 2nd and 3rd Editions (O'Reilly)

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python-cheatsheet

Comprehensive Python Cheatsheet

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ReinforcementLearning.jl

A reinforcement learning package for Julia

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tabnet

PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

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tf-quant-finance

High-performance TensorFlow library for quantitative finance.

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The-C-20-Masterclass-Source-Code

Source code for the C++ 20 Masterclass on udemy

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Topics_in_Statistics_Michaelmas_2020

Topics in Statistics III/IV (MATH3361/4071) Michaelmas term 2020

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