146 Open source projects that are alternatives of or similar to A-_Guide_-to_Data_Sciecne_from_mathematics

Proximal operators for nonsmooth optimization in Julia

Colab Compatible FastAI notebooks for NLP and Computer Vision Datasets

RandomX OpenCL implementation

The implementation of "Gated Attentive-Autoencoder for Content-Aware Recommendation"

A course on Optimization Methods

PyGRANSO: A PyTorch-enabled port of GRANSO with auto-differentiation

An index of recommendation algorithms that are based on Graph Neural Networks.

Modern Fortran Edition of the Pikaia Genetic Algorithm

BoostSRL: "Boosting for Statistical Relational Learning." A gradient-boosting based approach for learning different types of SRL models.

Official repository for "GaitGraph: Graph Convolutional Network for Skeleton-Based Gait Recognition" (ICIP'21)

AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations

Learnable Embedding Space for Efficient Neural Architecture Compression

A graph-based deep learning framework for life science

A list of data mining and machine learning papers that I implemented in 2019.

🤖 A machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers).

Transformer-based Dual Relation Graph for Multi-label Image Recognition. ICCV 2021

Advanced Normalization Tools in R

A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).

A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).

Genetics (Initialization, Selection, Crossover, Mutation)

Seminars on optimization methods for DIHT MIPT

A free LDL factorisation routine

A reading list for deep graph learning acceleration.

Univariate and multivariate time series forecasting

针对pytorch模型的自动化模型结构分析和修改工具集，包含自动分析模型结构的模型压缩算法库

JuliaLang version of "An Introduction to Statistical Learning: With Applications in R"

Representation Learning on Graphs with Jumping Knowledge Networks

CAE-ADMM: Implicit Bitrate Optimization via ADMM-Based Pruning in Compressive Autoencoders

[NeurIPS'2019] Shupeng Gui, Haotao Wang, Haichuan Yang, Chen Yu, Zhangyang Wang, Ji Liu, “Model Compression with Adversarial Robustness: A Unified Optimization Framework”

Yolov5 distillation training | Yolov5知识蒸馏训练，支持训练自己的数据

pytorch realtime multi person keypoint estimation

The complete code and notebooks used for the ACM Recommender Systems Challenge 2019

Modern Fortran Edition of the SLSQP Optimizer

Deep Learning for Computer Vision (CommE 5052) in NTU

A tutorial series by Preferred.AI

JCLAL is a general purpose framework developed in Java for Active Learning.

pytorch implementation of Structured Bayesian Pruning

基于Julia 1.0写李航博士《统计学习方法》

Lecture Slides for Introduction to Data Science

The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)

Wolfram Language interface to the Gurobi numerical optimization library

⌛ Introducing Self-Attention to Target Attentive Graph Neural Networks (AISP '22)

Powell's Derivative-Free Optimization solvers

Spare material for Computational Intelligence 01URROV @ Politecnico di Torino

Matlab library for gradient descent algorithms: Version 1.0.1

An End-to-End Machine Learning Library to Optimize AUC (AUROC, AUPRC).

Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021

This is the Chinese manual of the graph neural network library DGL, currently contains the User Guide.

Towards Knowledge-Based Recommender Dialog System @ EMNLP 2019

Spatial Temporal Graph Convolutional Networks for Sign Language (ST-GCN-SL) Recognition

🛍️RetailBox - eCommerce Recommender System using Machine Learning

Numerical Analysis code from the Oscar Veliz YouTube Channel

Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]

[ICLR'21] PyTorch code for our paper "Neural Pruning via Growing Regularization"

BitPack is a practical tool to efficiently save ultra-low precision/mixed-precision quantized models.

matrix factorization in PyTorch

Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders (IJCAI 2018)

A C++ Second Order Cone Solver based on Eigen

Efficient-Computing

A library of modern Fortran modules for nonlinear optimization