Models and examples built with TensorFlow

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

Library used to deskew a scanned document

A python library for user-friendly forecasting and anomaly detection on time series.

A collection of MCP servers.

Think DSP: Digital Signal Processing in Python, by Allen B. Downey.

Google Research

Convert Evernote .enex files to Markdown

A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputatio…

This project aims to collect the latest "call for reviewers" links from various top CS/ML/AI conferences/journals

This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

A comprehensive toolkit and benchmark for tabular data learning, featuring 35+ deep methods, more than 10 classical methods, and 300 diverse tabular datasets.

Python code for "Probabilistic Machine learning" book by Kevin Murphy

A novel Multimodal Large Language Model (MLLM) architecture, designed to structurally align visual and textual embeddings.

This repository contains implementations and illustrative code to accompany DeepMind publications

PyCIL: A Python Toolbox for Class-Incremental Learning

🎉 PILOT: A Pre-trained Model-Based Continual Learning Toolbox

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

Probabilistic time series modeling in Python

list of papers, code, and other resources

Resources for working with time series and sequence data

Conceptual 12M is a dataset containing (image-URL, caption) pairs collected for vision-and-language pre-training.

Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)

A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).

Official implement for "SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion"(NeurIPS'24) in PyTorch.

Based on the learnware paradigm, the learnware package supports the entire process including the submission, usability testing, organization, identification, deployment, and reuse of learnwares. Si…

This repo provides code used in the paper "Predicting with High Correlation Features" (https://arxiv.org/abs/1910.00164):

"Probabilistic Machine Learning" - a book series by Kevin Murphy

(NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning