Open-source Platform for Engineering Neural Architectures and Research Collaboration. Developing and improving AI tools for everyone.

TeleXGI: Explainable Gastrointestinal Image Classification for TeleSurgery Systems

A set of resources around Neo4J ninjas program

Daily consolidated and enriched snapshots of endoflife.date

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

Kaggle Notebooks

Fetch all kernels written for competitions from Kaggle.

Repository related to courses and submission from kaggle

Técnicas e recursos para estudar ciência de dados.

Malaria is a serious global health problem that affects millions of people each year. One of the challenges in diagnosing malaria is identifying infected cells from microscopic images of blood smears. Convolutional Neural Networks (CNNs) are a type of deep learning algorithm that have been used for image classification tasks etc

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

This website provides a platform for users to predict their likelihood of developing diabetes based on various factors.

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 tasks.

Implementation for the different ML tasks on Kaggle platform with GPUs.

Coronavirus Dataset Exploration

Competitive Programming, System Design, Kaggle, LeetCode, AnalyticsVidhya, HackerRank, Project Euler, Interview Query

Fast and customizable framework for automatic and quick Causal Inference in Python

Predicting Price of Second Hand Automotives

Trained a regularized Logistic Regression model for classifying machine failures using nothing but NumPy and Linear Algebra!