198 skills found · Page 1 of 7
ermongroup / DdimDenoising Diffusion Implicit Models
DiffEqML / TorchdynA PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
gempy-project / GempyGemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to address parameter and model uncertainties.
quora / QmfA fast and scalable C++ library for implicit-feedback matrix factorization models
rinvex / Laravel Attributes⚠️ [ABANDONED] Rinvex Attributable is a robust, intelligent, and integrated Entity-Attribute-Value model (EAV) implementation for Laravel Eloquent, with powerful underlying for managing entity attributes implicitly as relations with ease. It utilizes the power of Laravel Eloquent, with smooth and seamless integration.
czq142857 / Implicit DecoderThe code for paper "Learning Implicit Fields for Generative Shape Modeling".
Srameo / LED[ICCV 2023] Lighting Every Darkness in Two Pairs: A Calibration-Free Pipeline for RAW Denoising && [Arxiv 2023] Make Explicit Calibration Implicit: Calibrate Denoiser Instead of the Noise Model && [NeurIPS 2025] UltraLED: Learning to See Everything in Ultra-High Dynamic Range Scenes
GSeanCDAT / GIMM VFI[NeurIPS 2024] Generalizable Implicit Motion Modeling for Video Frame Interpolation
openai / Ebm Code ReleaseCode for Implicit Generation and Generalization with Energy Based Models
mehtadushy / SelecSLS PytorchReference 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 implicit filter level sparsity in Convolutional Neural Networks".
JuliaWolleb / Diffusion Based SegmentationThis is the official Pytorch implementation of the paper "Diffusion Models for Implicit Image Segmentation Ensembles".
H-EmbodVis / VEGA 3DOfficial code of "Generation Models Know Space: Unleashing Implicit 3D Priors for Scene Understanding"
nicola-decao / MolGANTensorflow implementation of MolGAN: An implicit generative model for small molecular graphs
Loop3D / LoopStructuralLoopStructural is an open-source 3D structural geological modelling library.
bharat-b7 / IPNetRepo for "Combining Implicit Function Learning and Parametric Models for 3D Human Reconstruction, ECCV'20(Oral)""
chenzhaiyu / Points2polyReconstructing compact building models from point clouds using deep implicit fields [ISPRS 2022]
huangyangyi / ELICIT[ICCV 2023] One-shot Implicit Animatable Avatars with Model-based Priors
piyushpathak03 / Recommendation SystemsRecommendation Systems This is a workshop on using Machine Learning and Deep Learning Techniques to build Recommendation Systesm Theory: ML & DL Formulation, Prediction vs. Ranking, Similiarity, Biased vs. Unbiased Paradigms: Content-based, Collaborative filtering, Knowledge-based, Hybrid and Ensembles Data: Tabular, Images, Text (Sequences) Models: (Deep) Matrix Factorisation, Auto-Encoders, Wide & Deep, Rank-Learning, Sequence Modelling Methods: Explicit vs. implicit feedback, User-Item matrix, Embeddings, Convolution, Recurrent, Domain Signals: location, time, context, social, Process: Setup, Encode & Embed, Design, Train & Select, Serve & Scale, Measure, Test & Improve Tools: python-data-stack: numpy, pandas, scikit-learn, keras, spacy, implicit, lightfm Notes & Slides Basics: Deep Learning AI Conference 2019: WhiteBoard Notes | In-Class Notebooks Notebooks Movies - Movielens 01-Acquire 02-Augment 03-Refine 04-Transform 05-Evaluation 06-Model-Baseline 07-Feature-extractor 08-Model-Matrix-Factorization 09-Model-Matrix-Factorization-with-Bias 10-Model-MF-NNMF 11-Model-Deep-Matrix-Factorization 12-Model-Neural-Collaborative-Filtering 13-Model-Implicit-Matrix-Factorization 14-Features-Image 15-Features-NLP Ecommerce - YooChoose 01-Data-Preparation 02-Models News - Hackernews Product - Groceries Python Libraries Deep Recommender Libraries Tensorrec - Built on Tensorflow Spotlight - Built on PyTorch TFranking - Built on TensorFlow (Learning to Rank) Matrix Factorisation Based Libraries Implicit - Implicit Matrix Factorisation QMF - Implicit Matrix Factorisation Lightfm - For Hybrid Recommedations Surprise - Scikit-learn type api for traditional alogrithms Similarity Search Libraries Annoy - Approximate Nearest Neighbour NMSLib - kNN methods FAISS - Similarity search and clustering Learning Resources Reference Slides Deep Learning in RecSys by Balázs Hidasi Lessons from Industry RecSys by Xavier Amatriain Architecting Recommendation Systems by James Kirk Recommendation Systems Overview by Raimon and Basilico Benchmarks MovieLens Benchmarks for Traditional Setup Microsoft Tutorial on Recommendation System at KDD 2019 Algorithms & Approaches Collaborative Filtering for Implicit Feedback Datasets Bayesian Personalised Ranking for Implicit Data Logistic Matrix Factorisation Neural Network Matrix Factorisation Neural Collaborative Filtering Variational Autoencoders for Collaborative Filtering Evaluations Evaluating Recommendation Systems
ZhengZerong / PaMIRImplementation of "PaMIR: Parametric Model-Conditioned Implicit Representation for Image-based Human Reconstruction"
OpenHelix-Team / Spatial ForcingOfficial implementation of Spatial-Forcing: Implicit Spatial Representation Alignment for Vision-language-action Model [ICLR2026]
