Rohit Namjoshi (rohitn)

rohitn

User data from Github https://github.com/rohitn

Location:Austin, Texas, USA

Home Page:http://www.linkedin.com/in/rohitnamjoshi

GitHub:@rohitn

Rohit Namjoshi's repositories

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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cora-graphdatascience

Better predict CORA paper classes with graph embeddings and graph machine learning

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deep_learning_and_the_game_of_go

Code and other material for the book "Deep Learning and the Game of Go"

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DualNumbers

Implementation of dual numbers for automatic differentiation of programs

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dynamax

State Space Models library in JAX

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flamingo-pytorch

Implementation of 🦩 Flamingo, state-of-the-art few-shot visual question answering attention net out of Deepmind, in Pytorch

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fpinscala

Code, exercises, answers, and hints to go along with the book "Functional Programming in Scala"

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graph-machine-learning-examples

Neo4j Graph Data Science with Graph ML & GNNs

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Grassmann.wl

⟨Leibniz-Grassmann-Clifford⟩ differential geometric algebra / multivector simplicial complex

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grokkingfp-examples

All examples and exercises from the Grokking Functional Programming book

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Mathematica-Belief-Propagation

Exact & Loopy Subjective Logic & Non-Subjective Logic Belief Propagation for Undirected (Markov) Networks in Mathematica

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Mathematica-for-physics

Mathematica Packages for Physicists

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McUtils

Utility packages and classes

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minGPT

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

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ML-Course-Notes

🎓 Sharing course notes on all topics related to machine learning, NLP, and AI

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MMAExportSHP

Mathematica Export Shapefile functionality

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nanoGPT

The simplest, fastest repository for training/finetuning medium-sized GPTs.

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nlu

1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.

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pml-book

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

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pml2-book

Probabilistic Machine Learning: Advanced Topics

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prospect

Time series data generation from probabilistic and independence specifications

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RMT4ML

Matlab Notebook for visualizing random matrix theory results and their applications to machine learning

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spark-nlp-workshop

Public runnable examples of using John Snow Labs' NLP for Apache Spark.

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WolframImportX

Wolfram import extension

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