[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding

[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)

Pytorch implementation of our paper accepted by CVPR 2020 (Oral) -- HRank: Filter Pruning using High-Rank Feature Map

volksdep is an open-source toolbox for deploying and accelerating PyTorch, ONNX and TensorFlow models with TensorRT.

[CVPR 2024 Highlight] DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models

A package for processing signals recorded using wearable sensors, such as Electrocardiogram (ECG), Photoplethysmogram (PPG), Electrodermal activity (EDA) and 3-axis acceleration (ACC).

Benchmarking suite to evaluate 🤖 robotics computing performance. Vendor-neutral. ⚪Grey-box and ⚫Black-box approaches.

[COLM 2024] TriForce: Lossless Acceleration of Long Sequence Generation with Hierarchical Speculative Decoding

动手学习TVM核心原理教程

pymotiontracker is a Python 3 library to read from an MPU6050 (accelerometer + gyroscope) Bluetooth module

Post processing routines for analysing PTV data.

[NeurIPS 2022, T-PAMI 2023] Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models

Implementation of "Fully Learnable Group Convolution for Acceleration of Deep Neural Networks", CVPR'19

[NeurIPS 2024] Fast Best-of-N Decoding via Speculative Rejection

Caffe Computation Graph Optimization.

PyTorch implementation of "Dynamic Structure Pruning for Compressing CNNs" (AAAI 2023 Oral)

Locality-aware Parallel Decoding for Efficient Autoregressive Image Generation

CircuitPython I2C driver for MPU9250 9-axis motion tracking device

Pytorch implementation of our paper accepted by ECCV2022 -- Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networks