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TU Munich, Intel Labs
- Munich
- https://ashishrao7.github.io/ashish-rao/
Highlights
- Pro
Stars
A retargetable MLIR-based machine learning compiler and runtime toolkit.
A generative world for general-purpose robotics & embodied AI learning.
A minimal GPU design in Verilog to learn how GPUs work from the ground up
For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.
A python parametric CAD scripting framework based on OCCT
A toy programming language written in Typescript
Not supported. Measure 8 EEG channels with Shield PiEEG and RaspberryPi in C library
Neuromorphic mathematical optimization with Lava
Constraint Optimization with Lava
A Software Framework for Neuromorphic Computing
Inverse Kinematics based control and animation of Spotmicro developped in Python for Raspeberry Pi
Best practices, conventions, and tricks for ROS
CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained …
Latex code for making neural networks diagrams
Hybrid bio-inspired architecture for robots using open source FPGAs. Master thesis & IROS 2018 publication.
TUM Project for the br41n Hackaton
A library to model multivariate data using copulas.
NMA Computational Neuroscience course
Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations




