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add libTMCG (#58)

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@@ -65,6 +65,7 @@ Here I tried to reference the most recent article found on specific software sin
- [FRESCO](http://fresco.readthedocs.io/en/latest/) - MPC supporting TinyTables or SPDZ protocols; secure against semi-honest or malicious adversaries. | [Practice'15](http://practice-project.eu/downloads/publications/D22.1-State-of-the-art-analysis-PU-V1.1.pdf).
- [HoneyBadgerMPC](https://github.com/initc3/HoneyBadgerMPC) - Robust MPC-based confidentiality layer for blockchains with guaranteed output delivery; secure against up to t < n/3 malicious parties.
- [JIFF](https://github.com/multiparty/jiff/) - JavaScript client and server libraries for building web-based applications that employ general purpose MPC; secure against semi-honest adversaries. | documentation: [link](https://multiparty.org/jiff/).
- [libTMCG](https://github.com/HeikoStamer/libtmcg) - C++ framework with various primitives and tools for implementing multiparty games; secure against semi-honest adversaries. | documentation: [link](https://www.nongnu.org/libtmcg/libTMCG.html/index.html)
- [Moose](https://github.com/tf-encrypted/moose) - 3PC with secret sharing; secure against semi-honest adversaries; focused on data processing and machine learning.
- [MOTION](https://github.com/encryptogroup/MOTION) - Mixed-Protocol MPC framework supporting full-threshold boolean and arithmetic GMW and BMR; secure against semi-honest adversaries. | eprint: [2020/1137](https://eprint.iacr.org/2020/1137).
- [MP-SPDZ](https://github.com/data61/MP-SPDZ) - MPC with garbled circuits or secret sharing; secure against malicious or semi-honest adversaries with dishonest or honest majority. | [documentation](https://mp-spdz.readthedocs.io/en/latest/) | eprint: [2020/512](https://eprint.iacr.org/2020/521)