Initial release of FHE.Chess alpha

contribution to ZAMA.ai
Fully Homomorphic Encryption Chess app

v0.1.0 (none FHE yet)

• Chess app (buggy)
• Client-Server architecture
• Clear AI (2 models: SOURCEand TARGET) trained exclusively on White and Black of 2000 ELO.
• Quantized AI (1st model) trained on data (no convergence)
• Docker file based on Zama Concrete-ML image to use concrete-ml lib within Dev Container (remote) Visual Code Studio
• Some documentation (WARNING: Swimm.io app is used, accessibility may be restricted)

To Do:

• Quantized AI (1 model SOURCE) training and test, not fixed
• Quantized AI (2nd model TARGET) trained on data
• Simulation VL + FHE
• Adding training & test metrics within documentation
• Fixed Chess App. bugs + add outcome
• Wrap the client-server into Docker containers
• Detailed documentation + add quantized, sim. VL and FHE explanation
• re-implement final FHE AI (aka OFHE_ZV bot) to fit with Lichess API for ranking