KTransformers is a flexible framework for experiencing cutting-edge optimizations in LLM inference and fine-tuning, focusing on CPU-GPU heterogeneous computing. It consists of two core modules: kt-kernel for high-performance inference kernels and kt-sft for fine-tuning. The project supports various hardware and models like DeepSeek series, Kimi-K2, achieving significant resource savings and speedups, such as reducing GPU memory for a 671B model to 70GB and up to 28x acceleration.
PythonRobotics is an open-source collection of Python sample codes and an accompanying textbook for robotics algorithms, covering localization, mapping, SLAM, path planning, path tracking, arm and aerial navigation. It emphasizes readability and minimal dependencies for learning and prototyping.
