Exploring Reinforcement Learning algorithms on customized Lunar Lander environment with dynamic realistic wind vectors by extending the gym environment.
ML inference framework for pytorch models in Asynchronous C++ which supports dynamic batching, Arrayfire, quantized model, and various optimizations written using Drogon