Paper Code：A Self-adaptive Weighted Differential Evolution Approach for Large-scale Feature Selection
Overview
Code for CPM-2 Pre-Train
CPM-2 Pre-Train Pre-train CPM-2 此分支为110亿非 MoE 模型的预训练代码，MoE 模型的预训练代码请切换到 moe 分支 CPM-2技术报告请参考link。 0 模型下载 请在智源资源下载页面进行申请，文件介绍如下： 文件名 描述 参数大小 100000.tar
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Crossover Learning for Fast Online Video Instance Segmentation (ICCV 2021)
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Code for the paper "VisualBERT: A Simple and Performant Baseline for Vision and Language"
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SeisComP/SeisBench interface to enable deep-learning (re)picking in SeisComP
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This python-based package offers a way of creating a parametric OpenMC plasma source from plasma parameters.
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Based on Yolo's low-power, ultra-lightweight universal target detection algorithm, the parameter is only 250k, and the speed of the smart phone mobile terminal can reach ~300fps+
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H&M Fashion Image similarity search with Weaviate and DocArray
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JumpDiff: Non-parametric estimator for Jump-diffusion processes for Python
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Official code repository for the work: "The Implicit Values of A Good Hand Shake: Handheld Multi-Frame Neural Depth Refinement"
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PyTorch implementation of Trust Region Policy Optimization
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This repository provides a PyTorch implementation and model weights for HCSC (Hierarchical Contrastive Selective Coding)
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A Jupyter notebook to play with NVIDIA's StyleGAN3 and OpenAI's CLIP for a text-based guided image generation.
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A PyTorch Toolbox for Face Recognition
FaceX-Zoo FaceX-Zoo is a PyTorch toolbox for face recognition. It provides a training module with various supervisory heads and backbones towards stat
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SymmetryNet: Learning to Predict Reflectional and Rotational Symmetries of 3D Shapes from Single-View RGB-D Images
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This is an early in-development version of training CLIP models with hivemind.
A transformer that does not hog your GPU memory This is an early in-development codebase: if you want a stable and documented hivemind codebase, look
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Code for testing convergence rates of Lipschitz learning on graphs
📈 LipschitzLearningRates The code in this repository reproduces the experimental results on convergence rates for k-nearest neighbor graph infinity L
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Code for "Adversarial Training for a Hybrid Approach to Aspect-Based Sentiment Analysis
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Data-Uncertainty Guided Multi-Phase Learning for Semi-supervised Object Detection
An official implementation of paper Data-Uncertainty Guided Multi-Phase Learning for Semi-supervised Object Detection
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Code in conjunction with the publication 'Contrastive Representation Learning for Hand Shape Estimation'
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Pytorch Implementation of Auto-Compressing Subset Pruning for Semantic Image Segmentation
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