Data Pipeline for Koala
This repo contains the data processing code for Koala. The training and serving framework is located in the EasyLM repo. See the Koala documentation for more details.
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This repo contains the data processing code for Koala. The training and serving framework is located in the EasyLM repo. See the Koala documentation for more details.
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 SACscalax
A simple library for scaling up JAX programsm3ae_public
Multimodal Masked Autoencoders (M3AE): A JAX/Flax ImplementationJaxCQL
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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