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Brevitas: neural network quantization in PyTorch
⚡ A Fast, Extensible Progress Bar for Python and CLI
Source codes for the book "Reinforcement Learning: Theory and Python Implementation"
Python package built to ease deep learning on graph, on top of existing DL frameworks.
This is the top-level project for the PULPissimo Platform. It instantiates a PULPissimo open-source system with a PULP SoC domain, but no cluster.
This is the top-level project for the PULP Platform. It instantiates a PULP open-source system with a PULP SoC (microcontroller) domain accelerated by a PULP cluster with 8 cores.
SpinalHDL based, FPGA Suitable RTL Implementation of RISC-V RV32. Aligned with RISC-V Virtual Prototype
Applied Machine Learning Explainability Techniques, published by Packt
Github Pages template based upon HTML and Markdown for personal, portfolio-based websites.
Snapchat Clone with Material 3, Jetpack Compose and Clean Architecture - Navigation Components, CamaraX, android-maps-compose, Exoplayer, Detekt, Coil, Gradle Secrets, Permission Handling.
Anonymous Github is a proxy server to support anonymous browsing of Github repositories for open-science code and data.
Reverb is an efficient and easy-to-use data storage and transport system designed for machine learning research
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
A Type-1 Diabetes simulator implemented in Python for Reinforcement Learning purpose
The PULP Ara is a 64-bit Vector Unit, compatible with the RISC-V Vector Extension Version 1.0, working as a coprocessor to CORE-V's CVA6 core
OpenROAD's unified application implementing an RTL-to-GDS Flow. Documentation at https://openroad.readthedocs.io/en/latest/
An open-source static random access memory (SRAM) compiler.
A cheatsheet of modern C++ language and library features.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Latex code for making neural networks diagrams
Datasets, Transforms and Models specific to Computer Vision