flaim models integrate well with existing Flax codebases such as Google's Big Vision repository or Scenic. The notebooks in this folder are not intended as full-fledged scripts or alternatives to the aforementioned codebases; rather, they are elementary sample usages of flaim for various vision tasks that gently walk the reader through a particular application without much regard for extendibility, tests, etc.
They include,
• classification-basic.ipynb: The most basic of the tutorials, this is ideal for those who would like to dip a toe into flaim without troubling themselves about more advanced topics such as distributed training or complex data pipelines with tf.data.
More notebooks will be released in the near future.