Stars
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
Engineer Vocabulary List in Japanese/English
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data
Awesome-LLM: a curated list of Large Language Model
Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)
unofficial re-implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"
Model-agnostic posthoc calibration without distributional assumptions
Convert Machine Learning Code Between Frameworks
A project template to simplify building and training deep learning models using Keras.
This repository implements Pozzolo, et al., (2015)'s probability calibration for imbalanced data.
Repo to accompany paper "Implicit Self-Regularization in Deep Neural Networks..."
Implementation of "Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems"
Matlab Notebook for visualizing random matrix theory results and their applications to machine learning
Non-negative Matrix Factorization (NMF) Tensorflow Implementation
A pytorch package for non-negative matrix factorization.
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
Fast and Easy Infinite Neural Networks in Python
Acceptance rates for the major AI conferences
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…
An index of algorithms for learning causality with data
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
Implementation of the "Deep Matrix Factorization Models for Recommender Systems"
Multi-Graph Convolutional Neural Networks
Fast methods for non-negative matrix tri-factorization
Interactive roadmaps, guides and other educational content to help developers grow in their careers.