729 skills found · Page 3 of 25
hyperspaceai / Hyperspace NodeThe world's largest decentralized P2P AI inference network — 2M+ nodes, 3.6M+ downloads. CLI, Tray App, and Browser clients.
larq / Compute EngineHighly optimized inference engine for Binarized Neural Networks
YichenGong / Densely Interactive Inference NetworkCleaned code for paper "Natural Language Inference over Interaction Space"
alokwhitewolf / Guided Attention Inference NetworkContains implementation of Guided Attention Inference Network (GAIN) presented in Tell Me Where to Look(CVPR 2018). This repository aims to apply GAIN on fcn8 architecture used for segmentation.
BICLab / SpikeYOLOOffical implementation of "Integer-Valued Training and Spike-Driven Inference Spiking Neural Network for High-performance and Energy-efficient Object Detection" (ECCV2024 Best Paper Candidate)
inferenceengine / ShadernnShaderNN is a lightweight deep learning inference framework optimized for Convolutional Neural Networks on mobile platforms.
Arwin-Yu / Deep Learning Image Classification Models Based CNN Or AttentionThis project organizes classic images classification neural networks based on convolution or attention, and writes training and inference python scripts
anira-project / Aniraan architecture for neural network inference in real-time audio applications
Murali-group / BeelineBEELINE: evaluation of algorithms for gene regulatory network inference
nntrainer / NntrainerNNtrainer is Software Framework for Training and Inferencing Neural Network Models on Devices.
sumanth-kalluri / Cnn Hardware Acclerator For FpgaThis is a fully parameterized verilog implementation of computation kernels for accleration of the Inference of Convolutional Neural Networks on FPGAs
HIPS / Probabilistic BackpropagationImplementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.
google-research / ProteinferDeep networks for protein functional inference
jxhe / Vae Lagging EncoderPyTorch implementation of "Lagging Inference Networks and Posterior Collapse in Variational Autoencoders" (ICLR 2019)
andreasveit / Convnet AigPyTorch implementation for Convolutional Networks with Adaptive Inference Graphs
USTCPCS / CVPR2018 AttentionContext Encoding for Semantic Segmentation MegaDepth: Learning Single-View Depth Prediction from Internet Photos LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume On the Robustness of Semantic Segmentation Models to Adversarial Attacks SPLATNet: Sparse Lattice Networks for Point Cloud Processing Left-Right Comparative Recurrent Model for Stereo Matching Enhancing the Spatial Resolution of Stereo Images using a Parallax Prior Unsupervised CCA Discovering Point Lights with Intensity Distance Fields CBMV: A Coalesced Bidirectional Matching Volume for Disparity Estimation Learning a Discriminative Feature Network for Semantic Segmentation Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi- Supervised Semantic Segmentation Unsupervised Deep Generative Adversarial Hashing Network Monocular Relative Depth Perception with Web Stereo Data Supervision Single Image Reflection Separation with Perceptual Losses Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains EPINET: A Fully-Convolutional Neural Network for Light Field Depth Estimation by Using Epipolar Geometry FoldingNet: Interpretable Unsupervised Learning on 3D Point Clouds Decorrelated Batch Normalization Unsupervised Learning of Depth and Egomotion from Monocular Video Using 3D Geometric Constraints PU-Net: Point Cloud Upsampling Network Real-Time Monocular Depth Estimation using Synthetic Data with Domain Adaptation via Image Style Transfer Tell Me Where To Look: Guided Attention Inference Network Residual Dense Network for Image Super-Resolution Reflection Removal for Large-Scale 3D Point Clouds PlaneNet: Piece-wise Planar Reconstruction from a Single RGB Image Fully Convolutional Adaptation Networks for Semantic Segmentation CRRN: Multi-Scale Guided Concurrent Reflection Removal Network DenseASPP: Densely Connected Networks for Semantic Segmentation SGAN: An Alternative Training of Generative Adversarial Networks Multi-Agent Diverse Generative Adversarial Networks Robust Depth Estimation from Auto Bracketed Images AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation DeepMVS: Learning Multi-View Stereopsis GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation Single-Image Depth Estimation Based on Fourier Domain Analysis Single View Stereo Matching Pyramid Stereo Matching Network A Unifying Contrast Maximization Framework for Event Cameras, with Applications to Motion, Depth, and Optical Flow Estimation Image Correction via Deep Reciprocating HDR Transformation Occlusion Aware Unsupervised Learning of Optical Flow PAD-Net: Multi-Tasks Guided Prediciton-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing Surface Networks Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation TextureGAN: Controlling Deep Image Synthesis with Texture Patches Aperture Supervision for Monocular Depth Estimation Two-Stream Convolutional Networks for Dynamic Texture Synthesis Unsupervised Learning of Single View Depth Estimation and Visual Odometry with Deep Feature Reconstruction Left/Right Asymmetric Layer Skippable Networks Learning to See in the Dark
chenjun2hao / DDRNet.pytorchThis is the unofficial code of Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes. which achieve state-of-the-art trade-off between accuracy and speed on cityscapes and camvid, without using inference acceleration and extra data
google-deepmind / Spectral Inference NetworksImplementation of Spectral Inference Networks, ICLR 2019
JuliaDynamics / Associations.jlAlgorithms for quantifying associations, independence testing and causal inference from data.
HelmchenLabSoftware / CascadeCalibrated inference of spiking from calcium ΔF/F data using deep networks
