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Michael Dillon (micdillon)

micdillon

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Location:Seattle, WA

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Michael Dillon's starred repositories

llama.cpp

LLM inference in C/C++

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minGPT

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

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nanoGPT

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

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nebuly

The user analytics platform for LLMs

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awesome-jax

JAX - A curated list of resources https://github.com/google/jax

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mesh-transformer-jax

Model parallel transformers in JAX and Haiku

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Diffusion

Everything related to diffusion models!

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easy-neural-ode

Code for the paper "Learning Differential Equations that are Easy to Solve"

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gradient-descent-the-ultimate-optimizer

Code for our NeurIPS 2022 paper

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ott

Optimal transport tools implemented with the JAX framework, to get differentiable, parallel and jit-able computations.

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maze-gen

Simple labyrinth generator

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tufte-pandoc-css

Starter files for using Pandoc Markdown with Tufte CSS

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xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

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BayesianOptimization

A Python implementation of global optimization with gaussian processes.

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JavaCall.jl

Call Java from Julia

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Phonetics.jl

A phonetics encoding library for Julia

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WordNet.jl

A Julia package for Princeton's WordNet®.

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Word2Vec.jl

Julia interface to word2vec

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StringDistances.jl

String Distances in Julia

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StatsFuns.jl

Mathematical functions related to statistics.

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Distributions.jl

A Julia package for probability distributions and associated functions.

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julia

The Julia Programming Language

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StatsBase.jl

Basic statistics for Julia

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Stan.jl

Stan.jl illustrates the usage of the 'single method' packages, e.g. StanSample, StanOptimize, etc.

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Mamba.jl

Markov chain Monte Carlo (MCMC) for Bayesian analysis in julia

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awesome-awesomeness

A curated list of awesome awesomeness

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awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

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nn

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torch7

http://torch.ch

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pylearn2

Warning: This project does not have any current developer. See bellow.

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