v1.1.0

• Full integration of VPRTempo into torch.nn architecture
• Quantization Aware Training (QAT) enabled to train weights in int8 space
• Addition of tutorials in Jupyter Notebooks to learn how to use VPRTempo as well as explain the computational logic
• Simplification of weight operations, reducing to a single weight tensor - allowing positive and negative connections to change sign during training
• Easier dependency installation with PyPi/pip
• And more!