Massively Parallel Deep Reinforcement Learning. 🔥
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Updated
Jul 10, 2024 - Python
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
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…
ICLR 2018 Quick-Thought vectors
Combining Faster R-CNN and U-net for efficient medical image segmentation
Efficient distortion loss with O(n) realization.
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.
Implementation of EMNLP2020 accepted paper: "TopicBERT: Topic-aware BERT for Efficient Document Classification"
This is an official repository for "LAVA: Data Valuation without Pre-Specified Learning Algorithms" (ICLR2023).
[EMNLP 2022 Findings] Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study
A simple, extensible and efficient programming language based on C and Python
A Unified Efficient Pyramid Transformer for Semantic Segmentation, ICCVW 2021
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