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A modular graph-based Retrieval-Augmented Generation (RAG) system
Repository for CARTE: Context-Aware Representation of Table Entries
Reading list for research topics in multimodal machine learning
GitHub repository for "A Riemannian Network for SPD Matrix Learning", AAAI 2017.
Build your neural network easy and fast, 莫烦Python中文教学
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
Simple examples to introduce PyTorch
A font family with a great monospaced variant for programmers.
PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"
Countering Adversarial Image using Input Transformations.
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …
Image restoration with neural networks but without learning.
MATLAB program for viewing 3D fMRI statistical images
Code and hyperparameters for the paper "Generative Adversarial Networks"
Code to reproduce results from the paper: "Compressed Sensing using Generative Models".
This repository shows how we can use transfer learning in keras with the example of training a face recognition model using VGG-16 pre-trained weights
Links to Neuroscience tools, portals, initiatives, and more!
🔗 Some useful websites for programmers.
🐧 A list of awesome Linux softwares
Martin Lindquist's dynamic correlation toolboxes. Designed for fMRI analysis, useful for other applications too.
A CVXPY extension for handling nonconvex QCQP via Suggest-and-Improve framework
Example demonstrating how gradient descent may be used to solve a linear regression problem
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive lea…