0.4.0

Implemented enhancements:

• [Feature Request] Monitoring learning rates #124

Merged pull requests:

• Update Getting Started + README #152 (cgarciae)
• Pretrained ResNet fix after #139 #151 (alexander-g)
• Dataset: better default batch_fn and custom batch_fn #148 (alexander-g)
• Label Smoothing for Binary Crossentropy #146 (alexander-g)
• Add adapter for handling torch dataloaders #145 (charlielito)
• Feature/tf dataset adapter #144 (charlielito)
• [*.md,*.py,*.sh] Fix typos #142 (SamuelMarks)
• verbose=4 #140 (alexander-g)
• Framework Agnostic API: Introduces a new low-level API, removes the dependency between Model and Module, adds support for Flax and Haiku, simplifies hooks. #139 (cgarciae)
• DataLoader Optimizations #137 (alexander-g)
• Autodownload pretrained ResNet #136 (alexander-g)
• Add learning rate logging #135 (cgarciae)
• Adds gitpod support to be able to develop elegy on the cloud #134 (cgarciae)
• Make Models Pickleable Again #133 (alexander-g)
• SCCE fix for bug in Jax<0.2.7 #130 (alexander-g)
• table progress #127 (alexander-g)