Research & Education

Mimir is an AI workspace designed for product managers, founders, and engineering leads to streamline product thinking and decision-making. It learns your product, remembers context, and synthesizes patterns from various data sources like customer interviews, feedback, usage data, and Slack conversations. Users can upload text, CSV, PDF, screenshots, and integrate with Slack. Mimir generates insights, prioritized recommendations with evidence, and artifacts such as briefs, PRDs, and emails, all grounded in real data. It acts as a thinking partner, helping to surface what matters and make better product decisions, growing smarter with every source and conversation.

StoryPad is a unique journaling application designed for how people actually live, offering a unified, chronological timeline for all life events rather than separating them into folders or categories. Users can capture everything from daily thoughts and emotions to workouts, travels, and to-dos. The app supports rich text editing, photo journaling with uncompressed images, voice journaling, and mood tracking. Emphasizing privacy, StoryPad stores all data locally on the user's device and offers direct backup to Google Drive without using its own servers. It is open-source for full transparency and provides features like an app lock, dark mode, over 1,300 fonts, and robust search capabilities with tag filtering. The core journaling experience is free and ad-free, with optional add-on features available for a one-time purchase.

Conker is an AI-powered education technology tool designed for fast and easy creation of quizzes and formative assessments. It leverages AI to streamline the process of generating educational content, making it a valuable resource for educators. The platform focuses on providing a user-friendly experience for creating various types of assessments, including multiple-choice questions. Conker aims to enhance classroom learning and teaching by offering an efficient solution for quiz creation, supporting both traditional and modern educational settings. It is developed by Mote Technologies, inc, indicating a focus on innovative educational tools.

BugFree.ai is a comprehensive AI-powered platform designed to help software engineering job seekers excel in system design and behavioral interviews. The platform offers over 150 system design questions, 30+ behavioral questions, and 500+ data interview questions, complete with guided learning materials and solutions. Users can practice with AI-driven mock interviews that provide personalized feedback, similar to a Leetcode-style experience. It also features 3000+ real interview experiences from top tech companies like Google, Amazon, and Meta, allowing users to learn from others' successes. BugFree.ai aims to provide a one-stop shop for interview preparation, helping users build confidence and refine their answers for critical interview scenarios.

PhyCV is the first Physics-inspired Computer Vision Python library developed by Jalali-Lab at UCLA. It introduces a new class of computer vision algorithms that simulate the propagation of light through physical mediums with diffractive properties, followed by coherent detection. Unlike traditional empirical algorithms, PhyCV leverages physical laws as blueprints, making these algorithms potentially implementable in real physical devices for fast and efficient computation. The library currently includes Phase-Stretch Transform (PST) for edge and texture detection, Phase-Stretch Adaptive Gradient-field Extractor (PAGE) for directional edge detection, and Vision Enhancement via Virtual diffraction and coherent Detection (VEViD) for low-light and color enhancement. Both CPU and GPU versions are available for each algorithm, with GPU versions depending on PyTorch and torchvision.

Creative Minds Think Alike is an AI-powered platform designed to enhance creative collaboration and skill development. It offers tools for brainstorming, team collaboration, and project management, enabling users to work together effectively on creative projects. The platform also includes AI-powered skill assessments to help individuals understand and improve their creative capabilities. Users can leverage its features for creative development, fostering a community where ideas are shared, and projects are managed efficiently. It aims to connect individuals globally for meaningful creative work and skill enhancement.

PipeCNN is an OpenCL-based FPGA Accelerator specifically designed for large-scale Convolutional Neural Networks (CNNs). It leverages High Level Synthesis (HLS) tools to facilitate the design and implementation of customized circuits on FPGAs, significantly speeding up the hardware development cycle compared to traditional RTL-based methodologies. The project provides a generic, yet efficient, OpenCL-based CNN accelerator that is scalable in both performance and hardware resources, making it suitable for various FPGA platforms. PipeCNN supports both Intel OpenCL SDK and Xilinx Vitis based FPGA design flows and includes a ModelZoo with pre-quantized models for networks like VGG-16 and ResNet-50. While the performance may not match the latest state-of-the-art designs, PipeCNN serves as a complete and valuable resource for learning about Deep Learning Architecture (DLA) and experimenting with new ideas in FPGA acceleration.

sisi is a free, open-source command-line interface (CLI) tool designed for semantic image search. It enables users to perform image searches locally on their machines, eliminating the need for external APIs. The tool is powered by node-mlx, a machine learning framework built for Node.js, and leverages the CLIP model to compute image embeddings. sisi supports Macs with Apple Silicon and x64/arm64 Linux, though Windows support is not yet available. It allows users to build and update image indexes for specified directories, list indexed directories, remove indexes, and search for images using natural language queries or image URLs/local files. The indexing process can be time-consuming for large collections without GPU support, but subsequent updates are faster as it only processes new or modified files.

TokenFormer is the official implementation of the ICLR2025 Spotlight paper, "TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters." This tool introduces a fully attention-based neural network that unifies token-token and token-parameter interactions, maximizing the flexibility of neural network architectures. By tokenizing both data and model parameters, TokenFormer inherently enhances model scalability, allowing for progressively efficient scaling. The architecture is designed to be natively scalable, leveraging attention mechanisms for interactions between input tokens, and between tokens and model parameters. This approach aims to offer greater flexibility than traditional Transformers, contributing to advancements in foundation models, sparse inference (MoE), parameter-efficient tuning, device-cloud collaboration, and vision-language applications.

Learneo is a pioneering platform that supports and scales builder-driven businesses focused on productivity and learning. It brings together a collection of entrepreneurial teams, including well-known brands such as Bartleby, CliffsNotes, Course Hero, LanguageTool, LitCharts, QuillBot, Scribbr, and Symbolab. The platform's mission is to supercharge productivity and learning for everyone by providing resources that help individuals achieve their fullest potential. Learneo emphasizes a 'better together' philosophy, fostering collaboration and shared growth among its independent businesses while maintaining a focus on innovation, efficiency, and impact in the rapidly evolving online learning market. The company's name itself, a portmanteau of 'learn' and 'neo,' signifies a commitment to continuous learning and new forms of education.

Wise is a comprehensive tutor management software designed to streamline operations for tutoring businesses, from individual tutors to large online schools. It automates critical tasks such as scheduling, invoicing, and payroll, significantly reducing administrative workload. The platform supports both one-on-one and group tutoring, offering features like 2-way Google Calendar sync, automated Zoom session management, and real-time alerts. Wise also provides a centralized student portal for easy access to schedules, chats, and resources, alongside AI-powered performance reports to boost retention. With secure in-platform chat, automated payment processing, and fully branded mobile apps, Wise aims to provide a seamless, secure, and smart tutoring experience for businesses looking to scale efficiently.

Transformer-TTS is a PyTorch implementation of the "Neural Speech Synthesis with Transformer Network," designed for efficient and high-quality speech synthesis. This model boasts training speeds 3 to 4 times faster than well-known seq2seq models such as Tacotron, while maintaining comparable synthesized speech quality. It utilizes a post-network based on the CBHG model from Tacotron and converts spectrograms into raw audio waves using the Griffin-Lim algorithm. The project includes detailed instructions for data preparation, training the autoregressive attention network and post-network, and generating TTS samples, making it a valuable resource for researchers and developers in speech synthesis.

Ensightful is a comprehensive platform designed to revolutionize project-based learning in higher education. It empowers instructors to create scalable structures for projects, offering features like task templates and milestones to guide students without increasing workload. The platform's AI generates instant, personalized formative feedback, addressing constraints in the student-to-instructor feedback loop. Ensightful also provides real-time insights into student progress, enabling early intervention for potential issues. For students, it breaks down complex projects into manageable pieces, offers multiple visualization options for progression, and helps build valuable career skills. It integrates with LMS platforms like Canvas and D2L for seamless roster and team sync, ultimately preparing learners for the future of work.

ImAIgic is a specialized prompt engineering tool designed to assist creators and prompt engineers in elevating their AI art creation. It features a curated library of Midjourney prompts, meticulously vetted and categorized by AI researchers. Users can leverage a text search feature to efficiently find relevant prompts and AI-generated images. The platform aims to streamline the process of discovering and utilizing high-quality prompts, making it easier for users to achieve desired artistic outcomes with AI.

SalesCred PRO is an AI-driven sales enablement solution designed to empower B2B sales professionals to become trusted advisors and close more deals. It addresses the challenge of low salesperson credibility by offering a structured approach to building trust through B2B sales intelligence and responsible AI. The platform includes a diagnostic phase with situational judgment tests and TeamTrait assessments, followed by targeted training to close skill gaps. The SalesCred app provides ongoing pre-meeting research, competitive intelligence, and shareable insights, all augmented by AI. Key features include Digital Credibility Scoring, a Daily Opportunities Dashboard, LinkedIn Profile Optimization, and an AI-Powered CredWriter™ for authoritative social selling. It also offers a self-paced e-learning academy and an AI-driven virtual sales coach, CredCoach™.

DreamDiscover is an ultimate dream interpretation and journaling application that leverages advanced AI technology to serve as a personal dream dictionary and analyzer. Users can get detailed dream analysis in approximately 3 seconds, helping them understand the hidden meanings and symbols within their dreams. The app also features a dream journal, allowing users to keep a record of their dreams and see patterns in their waking life, with every journal entry being analyzed by AI. DreamDiscover aims to provide insights and answer further questions about dreams, making self-discovery accessible and engaging.

breast_cancer_classifier is an open-source deep learning model designed to assist radiologists in breast cancer screening. It utilizes deep neural networks to analyze mammography images, offering both an image-only model and an image-and-heatmaps model for classification. The tool processes four standard mammography views (L-CC, R-CC, L-MLO, R-MLO) and outputs probabilities of benign and malignant findings for each breast. While the provided model is from 2019 and not clinically used at NYU Langone Health, it serves as a foundational implementation for researchers and developers interested in breast cancer classification using AI.

Meiro is an AI-powered platform designed for quickly building interactive quizzes and tests. Users can create engaging content from a prompt, existing text, files, links, or videos, and enhance it with integrated AI image generation. The platform offers extensive customization options, including white-labeling, and provides real-time analytics to measure lead generation and overall challenge success. Meiro supports various question types like single choice, multiple choice, picture choice, and fill-in-the-gaps, along with fully-equipped lead forms. It's suitable for marketing, HR, education, and content creation, offering unlimited challenges, views, and completions across all plans.

Croissant is an open-source, high-level format designed for machine learning datasets, developed by the MLCommons Association. It integrates four key layers: metadata for dataset description, resource file descriptions for raw data sources, data structure for organizing data, and ML semantics for defining how data is used in an ML context. This standardization aims to simplify the process of finding, using, and supporting ML datasets, addressing the common challenge of unique file organizations and data translation methods across different datasets. Croissant builds upon schema.org's Dataset vocabulary, enhancing discoverability and tool compatibility. It offers a Python implementation, mlcroissant, for easy installation and integration into ML workflows, including support for TensorFlow Datasets (TFDS) and integrations with platforms like Hugging Face, Kaggle, and OpenML.

Deep-Photo-Enhancer is an open-source project offering a TensorFlow implementation of the CVPR 2018 spotlight paper, "Deep Photo Enhancer: Unpaired Learning for Image Enhancement from Photographs with GANs." This tool allows users to enhance photographs using deep learning, specifically Generative Adversarial Networks (GANs), without the need for paired input and output images for training. It includes models for both supervised and unsupervised learning, and provides a simplified tutorial for processing images. The project also highlights improvements like global U-Net, adaptive WGAN (A-WGAN), and individual batch normalization (iBN) for better results in various applications beyond photo enhancement.

DeepGBM is a deep learning framework specifically designed for online prediction tasks, leveraging the power of Gradient Boosting Decision Trees (GBDT) for distillation. Presented at KDD'2019, this framework aims to significantly improve prediction accuracy in real-time scenarios. It integrates GBDT-based models, specifically LightGBM, with PyTorch-based neural networks. The project includes comprehensive code for data preprocessing, baseline model implementations, and the proposed DeepGBM model. Users can prepare their data in CSV format, process it through encoders, and then load numerical and categorical data for training. The framework supports training GBDT2NN or the full DeepGBM model, offering flexibility for different prediction needs.

Difix3D is an open-source project designed to enhance 3D reconstructions by leveraging single-step diffusion models. It offers a comprehensive framework for improving the quality of 3D data, specifically targeting artifact removal and the refinement of novel views. The tool provides both Difix for single-step diffusion artifact removal and Difix3D for progressive 3D updates, including integration with popular 3D reconstruction frameworks like Nerfstudio and gsplat. Additionally, Difix3D+ introduces real-time post-rendering capabilities to further sharpen details and improve visual fidelity. This makes it a valuable resource for researchers and developers working on advanced 3D computer vision tasks, offering practical implementations and models for immediate use.

Totoy specializes in integrating state-of-the-art AI solutions into existing business processes, focusing on measurable profitability and employee satisfaction. They offer a comprehensive approach starting with a free AI workshop, followed by an in-depth potential analysis where specialists spend a day on-site. The process culminates in AI evaluation and implementation, delivering systems that save time and money. Totoy's solutions are developed and hosted in the EU, ensuring compliance with GDPR and AI Act regulations. They address various use cases including document management, customer support, administration, controlling, quality control, and knowledge management, providing tailored AI agents and systems.

TopWorksheets is an innovative AI-powered platform designed to transform traditional teaching methods by enabling educators to create interactive and self-grading online worksheets. Teachers can easily convert existing printable worksheets into engaging digital exercises or generate new ones using the integrated AI. The platform helps save time by automating grading and tracking student progress, moving towards a paperless classroom environment. It offers features like assigning tasks, managing revisions, and monitoring student development. TopWorksheets also provides a community for teachers to share resources and offers a free plan with a 15-day free trial for premium features, making it an accessible solution for enhancing classroom engagement and efficiency.