[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning; [NeurIPS 2022] MCUNetV3: On-Device Training Under 2…

Sequence Modeling with Structured State Spaces

FaceChain is a deep-learning toolchain for generating your Digital-Twin.

Official Code for DragGAN (SIGGRAPH 2023)

ncnn is a high-performance neural network inference framework optimized for the mobile platform

Implementing Vi(sion)T(transformer)

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

OpenMMLab Detection Toolbox and Benchmark

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

OpenMMLab Computer Vision Foundation

OpenMMLab Pose Estimation Toolbox and Benchmark.

Free to use online tool for labelling photos. https://makesense.ai

A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quantization.

Code repository of the paper Neural circuit policies enabling auditable autonomy published in Nature Machine Intelligence

Pytorch implementation of paper "HiDDeN: Hiding Data With Deep Networks" by Jiren Zhu, Russell Kaplan, Justin Johnson, and Li Fei-Fei

📝 Easily create a beautiful website using Academic, Hugo, and Netlify

Multi-Label Image Classification via Knowledge Distillation from Weakly-Supervised Detection (ACM MM 2018)