Duane321

MyDataSciencePortfolio

Applying Data Science and Machine Learning to Solve Real World Business Problems

lineax

Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax

lit-llama

Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.

mutual_information

Contains companion code for the Mutual Information YouTube channel

LLMSurvey

The official GitHub page for the survey paper "A Survey of Large Language Models".

balance

The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to some target population of interest.

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Open-Assistant

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

PGMax

Loopy belief propagation for factor graphs on discrete variables in JAX

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

kfac-jax

Second Order Optimization and Curvature Estimation with K-FAC in JAX.

pml2-book

Probabilistic Machine Learning: Advanced Topics

gradient-descent-the-ultimate-optimizer

Code for our NeurIPS 2022 paper

cwmidi

equinox

Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/

scipy

SciPy library main repository

sts-jax

Structural Time Series in JAX

linear_operator

A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch

awesome-monte-carlo-tree-search-papers

A curated list of Monte Carlo tree search papers with implementations.

dynamax

State Space Models library in JAX

optax

Optax is a gradient processing and optimization library for JAX.

identify_effects_in_social_media

Reproduction materials for "Identify Effects in Social Media"

blackjax

BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.

altair

Declarative statistical visualization library for Python

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

einops

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

numpy

The fundamental package for scientific computing with Python.

scikit-learn

scikit-learn: machine learning in Python

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

tensorflow

An Open Source Machine Learning Framework for Everyone