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The Qualcomm® AI Hub Models are a collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.
Companion Jupyter Notebooks for the RFSoC-Book.
A PyTorch library and evaluation platform for end-to-end compression research
🔀 Neural Network (NN) Streamer, Stream Processing Paradigm for Neural Network Apps/Devices.
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
jackyyuanzz / aiortc_VideoAdapt
Forked from aiortc/aiortcWebRTC and ORTC implementation for Python using asyncio
Sionna: An Open-Source Library for Next-Generation Physical Layer Research
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
Open source SDR 4G software suite from Software Radio Systems (SRS) https://docs.srsran.com/projects/4g
Blosm addon for Blender. A few clicks import of Google 3D cities, OpenStreetMap, terrain. Global coverage. Source code is in the branch 'release'.
A simulation framework of adaptive video streaming over wireless home networks using ns-3. The final project for CPSC 8510 Software Systems for Data Communication.
tommyazz / qd-channel
Forked from signetlabdei/qd-channelns-3 integration of the quasi deterministic ray tracer https://github.com/signetlabdei/qd-realization
ML-based compensation of RFFE distortion in communication systems
NYU Tandon Machine Learning Summer Program 2020
pyforest - feel the bliss of automated imports
A C++ standalone library for machine learning
An implementation of a traffic model for VR applications on ns-3
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs o…
FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai
An open-source framework for machine learning and other computations on decentralized data.
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute framework.
A quick reference to access NYU High Performance Computing