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awesome-edge-machine-learning

A curated list of awesome edge machine learning resources, including research papers, inference engines, challenges, books, meetups and others.

awesome-pruning

A curated list of neural network pruning resources.

benchmark

bme595_deeplearning

This repository is for all homeworks and project under the course BME 595: Deep Learning in Purdue University

chisel-book

Digital Design with Chisel

chisel-examples

Chisel examples and code snippets

darknet-nnpack

Darknet with NNPACK

deepbench

Benchmarking Deep Learning operations on different hardware

deeplearningexamples

Deep Learning Examples

depthshrinker

[ICML 2022] "DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks", by Yonggan Fu, Haichuan Yang, Jiayi Yuan, Meng Li, Cheng Wan, Raghuraman Krishnamoorthi, Vikas Chandra, Yingyan Lin

detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

detr

End-to-End Object Detection with Transformers

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

efficientdet-pytorch

A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights

efficientdnns

Collection of recent methods on DNN compression and acceleration

efficientnet-pytorch

A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!)

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

faster_rcnn_for_open_images_dataset_keras

Faster R-CNN for Open Images Dataset by Keras

gen-efficientnet-pytorch

Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS

gradient-descent-the-ultimate-optimizer

Paper and code for Gradient Descent: The Ultimate Optimizer

hello-world

Testing github

imagenet-stubs

A teeny tiny set of ImageNet-like images for testing pipelines

mmcv

OpenMMLab Computer Vision Foundation

mmdetection

OpenMMLab Detection Toolbox and Benchmark

neural-compressor

Intel® Neural Compressor (formerly known as Intel® Low Precision Optimization Tool), targeting to provide unified APIs for network compression technologies, such as low precision quantization, sparsity, pruning, knowledge distillation, across different deep learning frameworks to pursue optimal inference performance.

optimum-intel

🤗 Optimum Intel: Accelerate inference with Intel optimization tools

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

pytorch-on-rpi

This repository aims to assist those who want to run neural network models in a raspberry pi environment using the Pytorch framework. Learn more about performing object detection on raspberry pi in our post here: https://bit.ly/2LZZsJz

rpi-image

Raspberry Pi 4 64-bit OS image with deep learning examples