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EasyLM
Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.CQL
Conservative Q Learning on top of SACkoala_data_pipeline
The data processing pipeline for the Koala chatbot language modelscalax
A simple library for scaling up JAX programsJaxCQL
Conservative Q learning in Jaxmlxu
Machine Learning eXperiment UtilitiesSimpleSAC
A simple and easy to use implementation of the soft actor-critic algorithm.gps_superball_public
GPS codebase for NASA Superball tensegrity robotmintext
Minimal but scalable implementation of large language models in JAXtpu_pod_commander
TPU pod commander is a package for managing and launching jobs on Google Cloud TPU pods.MLClass
Coursera machine learning classcs184_final
CS184 final project: a point cloud to mesh generatorparameterized_model
TensorFlow parameterized model libraryResumeAnalytics
StatNews Resume Projectbrc_cql_example
cs288
cs9e
CS 9E homeworkacd_archive
Automatically archive to Amazon cloud driveUVaClient
Command Line Client for UVa Online JudgeiColorTF
iColor implementation in TensorFlowShuffleX
A smart music player with machine learning based shuffle algorithm.EvoLib
A framework in Java for genetic algorithm developmentpytorch-maml-q-rl
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