-
University of Hamburg
- Hamburg
- https://zamani.github.io
Starred repositories
High-efficiency floating-point neural network inference operators for mobile, server, and Web
Supporting PyTorch models with the Google AI Edge TFLite runtime.
Extensible, parallel implementations of t-SNE
A Library for Differentiable Logic Gate Networks
An extremely fast Python package and project manager, written in Rust.
A simple, easy, customizable Gymnasium environment for trading.
Flet enables developers to easily build realtime web, mobile and desktop apps in Python. No frontend experience required.
Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS
Tools to support converting a Python project into a standalone native application.
cameratransform is a python package which can be used to fit camera transformations and apply them to project points from the camera space to the world space and back.
Streamlit — A faster way to build and share data apps.
All Homeworks for TinyML and Efficient Deep Learning Computing 6.5940 • Fall • 2023 • https://efficientml.ai
STM32 Application for Deep Learning Framework with TVM
A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support.
We write your reusable computer vision tools. 💜
[CVPR 2023] DepGraph: Towards Any Structural Pruning; LLMs, Vision Foundation Models, etc.
This repository is all the lessons for Modern Robotics Course.
Binarize convolutional neural networks using pytorch 🔥
[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning
[ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
[ICLR 2024] Efficient Streaming Language Models with Attention Sinks