Massively Parallel Deep Reinforcement Learning. 🔥

Implementation of EfficientNet model. Keras and TensorFlow Keras.

Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019

Official PyTorch implementation of Superpoint Transformer introduced in [ICCV'23] "Efficient 3D Semantic Segmentation with Superpoint Transformer" and SuperCluster introduced in [3DV'24 Oral] "Scalable 3D Panoptic Segmentation As Superpoint Graph Clustering"

A light-weight, power efficient, and general purpose convolutional neural network

[CVPR21] LightTrack: Finding Lightweight Neural Network for Object Tracking via One-Shot Architecture Search

Reference ImageNet implementation of SelecSLS CNN architecture proposed in the SIGGRAPH 2020 paper "XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera". The repository also includes code for pruning the model based on implicit sparsity emerging from adaptive gradient descent methods, as detailed in the CVPR 2019 paper "On i…

LLaVA-Mini is a unified large multimodal model (LMM) that can support the understanding of images, high-resolution images, and videos in an efficient manner.

Papers and Book to look at when starting AGI 📚

Fast OpenGL Mathematics (GLM) for Python

ICLR 2018 Quick-Thought vectors

python implementation of efficient convolution operators for tracking

Combining Faster R-CNN and U-net for efficient medical image segmentation

[EMNLP 2024 Findings] OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs.

Efficient distortion loss with O(n) realization.

A lightweight end-to-end text-to-speech model

2D discrete Wavelet Transform for Image Classification and Segmentation

An efficient pytorch implementation of selective scan in one file, works with both cpu and gpu, with corresponding mathematical derivation. It is probably the code which is the most close to selective_scan_cuda in mamba.

A Simple framework for image restoration, it includes ECBSR, ELAN and other SOTAs.