Links to resources talking about how to learn & understand mathematics, and mathematical language, terminology and notation.

Open-source SOTA multi-image editing model

A curated list of awesome papers on Embodied AI and related research/industry-driven resources.

[ICLR 2026] Official repo of paper "Reconstruction Alignment Improves Unified Multimodal Models". Unlocking the Massive Zero-shot Potential in Unified Multimodal Models through Self-supervised Learning.

A curated collection of research papers, models, and resources tracing the evolution from specialized models to unified world models.

DocILE: Document Information Localization and Extraction Benchmark

AI-agent video search — search, retrieve, find inside videos, not just tags and transcripts.

The code interpreter is a tool developed by OpenAI to execute programming code in an interactive environment. It is capable of running Python code and displaying the results in real-time.

This is an portrayal of a Generative Adversarial Network (GAN) where the dog is the generator and the duck is the destructor.

More reliable Video Understanding Evaluation

Dynamic Time-Aware Attention to Speaker Roles and Contexts for Spoken Language Understanding

[IEEE T-CSVT 2019] Hierarchically Learned View-Invariant Representations for Cross-View Action Recognition

[Paper][EMNLP 2025] SKA-Bench: A Fine-Grained Benchmark for Evaluating Structured Knowledge Understanding of LLMs

IntentsKB: A Knowledge Base of Entity-Oriented Search Intents - CIKM'18

Using LIME (Local Interpretable Model-Agnostic Explanations) for text data

A comprehensive penetration testing toolkit based on python

Draft, explain, debate, change, and visualize a sample bill.

Enguage (tm) - (c) Martin Wheatman

A curated set of my research and experiments, re-evaluating ideas from books, videos, and discussions across diverse topics.

Code Exploration and Onboarding Tool

Modified base on longcw's code.

"Understanding Git" presentation slide deck

This is a Chatbot AI model designed for students with custom features support learning and thinking.

Resources to help you understand a foreign codebase

Explanation of Currying in Haskell

Several notebooks that contain different functions implemented in Python to understand the basic steps to carry out a machine learning problem.

WebComponent ‹Sentir—Comprendre—Connaître›, following Enrique Pardo's requirements and concept

Some exercises done from the book Linux Commands,C,C++,Java,Python by Manjunath.R and some optional exercises made by me

This repository is to understand Attention mechanism for the Classification task. The task used here for explanation is Recognizing Textual Entailment. It is a Natural Language Inference task.

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