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Reference documentation for the Zwift workout file format
Python Interface to TrainerRoad
This code allows you to copy trainer road workouts to training peaks
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…
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
For optimization algorithm research and development.
SAM-Med3D: An Efficient General-purpose Promptable Segmentation Model for 3D Volumetric Medical Image
An extremely fast Python package and project manager, written in Rust.
Create temporary files and temporary dirs in memory-based filesystems on Linux.
Performance Software for Cyclists, Runners, Triathletes and Coaches
A Library for Advanced Deep Time Series Models.
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
Cryptonews sentiment prediction application
RecTools - library to build Recommendation Systems easier and faster than ever before
A simple way to calibrate your neural network.
Kolmogorov-Arnold Networks (KAN) using Chebyshev polynomials instead of B-splines.
Example repo for how to organize your PhD with Github
An Open-Source Collection of Flash Cards to Help You Preparing Your Algorithms & Data Structures and System Design Interviews 💯
A guide to crushing tech interviews.
Elucidating the Design Space of Diffusion-Based Generative Models (EDM)
A JAX-based deep learning framework for image segmentation using diffusion models.
natbib compatible splncs04.bst (Springer LNCS) BibTeX Style File built using a docstrip with the conventional merlin.mbs master file.
PyTorch implementation of CLIP Maximum Mean Discrepancy (CMMD) for evaluating image generation models.
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
Pytorch implementation of NASDM: Nuclei-Aware Semantic Histopathology Image Generation Using Diffusion Models
U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation