Longfei Shangguan's repositories

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mlc-llm

Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.

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CSrankings

A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.

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AudioSep

Official implementation of "Separate Anything You Describe"

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awesome-opensource-hardware

List of awesome open source hardware tools, generators, and reusable designs

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awesome-NeRF

A curated list of awesome neural radiance fields papers

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LibreVNA

100kHz to 6GHz 2 port USB based VNA

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nexmon_csi

Channel State Information Extraction on Various Broadcom Wi-Fi Chips

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nos

Module to Automatically maximize the utilization of GPU resources in a Kubernetes cluster through real-time dynamic partitioning and elastic quotas - Effortless optimization at its finest!

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academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

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AC101

AC101 audio codec driver library for Arduino

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qlib

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies.

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triton

Development repository for the Triton language and compiler

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satwikkottur.github.io

Personal Webpage

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openofdm

Sythesizable, modular Verilog implementation of 802.11 OFDM decoder.

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openwifi

open-source IEEE802.11/Wi-Fi baseband chip/FPGA design

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awesome-tiny-object-detection

🕶 A curated list of Tiny Object Detection papers and related resources.

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nanodet

⚡Super fast and lightweight anchor-free object detection model. 🔥Only 1.8mb and run 97FPS on cellphone🔥

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lightseq

LightSeq: A High Performance Inference Library for Sequence Processing and Generation

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StarPerf_Simulator

``Newspace'' mega-constellations, such as StarLink and OneWeb are gaining tremendous popularity, with the promising potential to provide high-capacity and low-latency communication globally. However, very little is know about the architecture and performance of such emerging systems, the workload they have to face, as well as the impact of topological options on the attainable network performance.

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ns3-mmwave

ns-3 module for simulating mmWave-based cellular systems. See https://ieeexplore.ieee.org/document/8344116/ (open access) as a reference.

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pytorch-beginner

pytorch tutorial for beginners

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oneflow

OneFlow is a performance-centered and open-source deep learning framework.

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awesome-mlops

A curated list of references for MLOps

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mmdetection

OpenMMLab Detection Toolbox and Benchmark

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