nPloy

Under this week's spotlight, we present to you: C-Innovation, nPloy, and Akula Tech as HackerNoon's Startups of The Week!

Meet C-Innovation, nPloy, and Akula Tech: HackerNoon Startups of The Week

nPloy is an AI-powered job matching platform designed to turn the job hunt from a painful chore into a human-centered, intuitive experience. 

Meet nPloy, Winner of Startups of The Year 2024 in Sofia, Bulgaria/SaaS

Meet Europe’s best startups of 2024! From healthcare to green energy, across 450+ cities, and voted by millions in HackerNoon’s Startups of the Year 2024. 

Startups of The Year 2024 Winners: Europe

Meet the 2024 Startups of The Year winners in the programming category who are rewriting the rules of software development one code at a time.

Startups of The Year 2024 Winners: Programming

Coin3D integrates 3D-aware control for interactive 3D modeling, enabling real-time previews and precise edits while paving the way for future improvements.

Coin3D Introduces a New Standard for Interactive 3D Asset Generation

In this paper, we present Wonder3D, an innovative approach designed for efficiently generating high10 fidelity textured meshes from single-view images.

The Conclusion to Wonder3D: Future Works and References 

Here's a valuable reference list to learn more about diffusion models and image and video editing.

A Reference List to Learn More About Image Editing, Video Editing, and Diffusion Models

This statement outlines efforts to ensure the reproducibility of AI research

Ensuring Reproducibility in AI Research: Code and Pre-trained Weights Open-Sourced

This paper proposes a consistent V2V synthesis framework by jointly leveraging spatial conditions and temporal optical flow clues within the source video.

FlowVid: Taming Imperfect Optical Flows: Conclusion, Acknowledgments and References

In this study, researchers present an end-to-end general-purpose any-to-any MM-LLM system called NExT-GPT.

NExT-GPT: Any-to-Any Multimodal LLM: Conclusion and References

In my previous story, we covered the derivation of the expression of WoE using maximum likelihood. Now, we will apply it practically on a random dataset

How To Use Target Encoding in Machine Learning Credit Risk Models  -  Part 2

Learn how SVDD encapsulates datasets within hyperspheres, and discover how SVDD+ leverages privileged information to optimize training.

Anomaly Detection with Privileged Information—Part 2

In the realm of machine learning and data science, feature engineering stands as a cornerstone of model performance improvement. 

The Beginner's Guide to Feature Engineering

Strategies and Best Practices for Ensuring Data Consistency

Explore time series analysis: from cross-validation, decomposition, transformation to advanced modeling with ARIMA, Neural Networks, and more.

Solving Time Series Forecasting Problems: Principles and Techniques

A project that added Additive White Gaussian Noise to a sinusoidal signal before training machine learning networks to denoise it effectively as a challenge.

Signal DeNoising using Auto Encoders

How to use Approximate leave-one-out cross-validation for hyperparameter optimization and outlier detection for logistic regression and ridge regression

How to Use Approximate Leave-one-out Cross-validation to Build Better Models

In this blog, we discuss about the role of Variation Auto Encoder in detecting anomalies from fetal ECG signals.

Anomaly Detection from Fetal ECG — A Case Study of IOT Anomaly Detection using GAN

Thinking which library should you choose for hyperparameter optimization?

Optuna Vs. Hyperopt: Which Hyperparameter Optimization Library You Should Choose

Tree-based models like Random Forest and XGBoost have become very popular in solving tabular(structured) data problems and gained a lot of tractions in Kaggle competitions lately. It has its very deserving reasons. However, in this article, I want to introduce a different approach from fast.ai’s Tabular module leveraging.

Gain State-Of-The-Art Results on Tabular Data with Deep Learning & Embedding Layers [A How To Guide]

Building a Feedforward Neural Network from Scratch in Python

How to Win a Kaggle Competition: Box Office Prediction Competition

This is part 1 of my ISIC cancer classification series. You can find part 2 here.

Machine Learning for ISIC Skin Cancer Classification Challenge

I’ve spent a majority of my adult life in investing.

Can LSTM + WT + SAE get us to 82.5% annual returns on the Dow?

Saas

nPloy, the career hub for employers & talents. Our mission is to make your Mondays brighter by giving you the ease and simplicity whether you are on the candidate’s or the employer’s side.

NPLOY

https://nploy.net/

Since 2021

nPloy's stories on HackerNoon

Meet C-Innovation, nPloy, and Akula Tech: HackerNoon Startups of The Week

Meet nPloy, Winner of Startups of The Year 2024 in Sofia, Bulgaria/SaaS

Startups of The Year 2024 Winners: Europe

Startups of The Year 2024 Winners: Programming

Coin3D Introduces a New Standard for Interactive 3D Asset Generation

The Conclusion to Wonder3D: Future Works and References

A Reference List to Learn More About Image Editing, Video Editing, and Diffusion Models

Ensuring Reproducibility in AI Research: Code and Pre-trained Weights Open-Sourced

FlowVid: Taming Imperfect Optical Flows: Conclusion, Acknowledgments and References

NExT-GPT: Any-to-Any Multimodal LLM: Conclusion and References

How To Use Target Encoding in Machine Learning Credit Risk Models - Part 2

Anomaly Detection with Privileged Information—Part 2

The Beginner's Guide to Feature Engineering

Strategies and Best Practices for Ensuring Data Consistency

Solving Time Series Forecasting Problems: Principles and Techniques

Signal DeNoising using Auto Encoders

How to Use Approximate Leave-one-out Cross-validation to Build Better Models

Anomaly Detection from Fetal ECG — A Case Study of IOT Anomaly Detection using GAN

Optuna Vs. Hyperopt: Which Hyperparameter Optimization Library You Should Choose

Gain State-Of-The-Art Results on Tabular Data with Deep Learning & Embedding Layers [A How To Guide]

Building a Feedforward Neural Network from Scratch in Python

How to Win a Kaggle Competition: Box Office Prediction Competition

Machine Learning for ISIC Skin Cancer Classification Challenge

Can LSTM + WT + SAE get us to 82.5% annual returns on the Dow?

Reviews About nPloy

nPloy WIKI

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