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  • AILibrary

    AI Library Filter by Industry Select Industry General OpenCV OpenCV is an open-source library for computer vision and image processing. Try It: https://opencv.org/ Read More General E- book Innovating with AI: Next-Generation Digital Solutions for Modern Enterprises Read More General Keras Keras is an open-source library for deep learning and machine learning. Try It: https://keras.io/ Read More General TensorFlow TensorFlow is an open-source library for deep learning and machine learning. Try It: https://github.com/tensorflow/tensorflow Read More General PyTorch PyTorch is an open-source library for deep learning and machine learning. Try It: https://pytorch.org/ Read More Ecommerce Ludwig Ludwig (Uber) is an open-source library for model training and experiment tracking. Try It: https://ludwig.ai/ Read More Ecommerce Annoy Annoy (Spotify) is an open-source library for approximate nearest neighbors search. Try It: https://github.com/spotify/annoy Read More Ecommerce Rasa Rasa (Open Source) is an open-source library for building conversational AI systems. Try It: https://rasa.com/ Read More Ecommerce LightFM LightFM (Lyst) is an open-source library for building recommendation systems. Try It: https://github.com/lyst/lightfm Read More Ecommerce OpenAI's CLIP OpenAI's CLIP is an open-source deep learning model for natural language understanding. Try It: https://openai.com/blog/clip/ Read More Ecommerce VGG16 (Oxford) VGG16 (Oxford) is an open-source convolutional neural network for image classification. Try It: https://www.robots.ox.ac.uk/~vgg/research/very_deep/ Read More Sportstech Sportvu Sportvu Dataset is an open-source collection of tracking data for sports analysis. Try It: https://github.com/google-research/open-spiel/tree/master/open_spiel/spiel_data/sportvu Read More Sportstech BallTracking BallTracking Dataset is an open-source collection of videos for training and testing ball tracking algorithms. Try It:https://github.com/jrobchin/balltracking-dataset Read More Sportstech PoseNet (Google) PoseNet (Google) is an open-source library for real-time 6-DOF camera pose estimation. Try It:https://github.com/tensorflow/tfjs-models/tree/master/posenet Read More Fintech XGBoost XGBoost is an open-source gradient boosting library for data science tasks. Try It:https://xgboost.readthedocs.io/en/latest/ Read More Fintech Prophet (Facebook) Prophet (Facebook) is an open-source forecasting library for time series data. Try It:https://facebook.github.io/prophet/ Read More Fintech Alphalens Alphalens is a Python library for performance analysis of machine learning-based trading strategies. Try It:https://github.com/quantopian/alphalens Read More Sportstech Sports-1M Dataset Sports-1M Dataset is an open-source collection of sports videos for training and testing machine learning models. Try It: https://research.google.com/youtube8m/explore.html#dataset Read More Sportstech TensorFlow Object Detection API TensorFlow Object Detection API is an open-source library for object detection using deep learning. Try It: https://github.com/tensorflow/models/tree/master/research/object_detection Read More Fintech Scikit-learn Scikit-learn is a powerful open-source machine learning library for Python. Try It: https://scikit-learn.org/ Read More

  • Sportvu

    < Back Sportvu Sportstech Sportvu Dataset is an open-source collection of tracking data for sports analysis. Try It: https://github.com/google-research/open-spiel/tree/master/open_spiel/spiel_data/sportvu Try It: https://github.com/google-research/open-spiel/tree/master/open_spiel/spiel_data/sportvu The Sportvu Dataset is an open-source collection of tracking data for sports analysis. It consists of data from a variety of sports, including basketball, soccer, and baseball. The dataset contains a variety of features such as player positions, velocities, and accelerations. It is designed to provide a comprehensive view of sports data and can be used to train models for player tracking, performance evaluation, and other analytics tasks. Try It: https://github.com/google-research/open-spiel/tree/master/open_spiel/spiel_data/sportvu #SportsAnalysis #DataAnalysis #MachineLearning #DataScience #AI #ML If you are building an AI solution or looking forward to open-source, please contact us or join our discord . Previous Next

  • Sports-1M Dataset

    < Back Sports-1M Dataset Sportstech Sports-1M Dataset is an open-source collection of sports videos for training and testing machine learning models. Try It: https://research.google.com/youtube8m/explore.html#dataset Try It: https://research.google.com/youtube8m/explore.html#dataset The Sports-1M Dataset is an open-source collection of sports videos intended for use in training and testing machine learning models. It consists of 1 million videos of 11 different sports, including basketball, soccer, baseball, and tennis. The dataset contains a variety of features such as frame rate, resolution, and player actions. It is designed to provide a realistic representation of sports data and can be used to train models for object detection, action recognition, and other vision-based tasks. Try It: https://research.google.com/youtube8m/explore.html#dataset #Sports #MachineLearning #DataScience #AI #ML #Videos If you are building an AI solution or looking forward to open-source, please contact us or join our discord . Previous Next

  • OpenAI's CLIP

    < Back OpenAI's CLIP Ecommerce OpenAI's CLIP is an open-source deep learning model for natural language understanding. Try It: https://openai.com/blog/clip/ Try It: https://openai.com/blog/clip/ OpenAI's CLIP (Contrastive Language-Image Pre-training) is an open-source deep learning model for natural language understanding. It is designed to be highly accurate and efficient, and provides powerful features such as zero-shot understanding and cross-modal transfer learning. CLIP can be used for a variety of applications, including text classification, question answering, and image captioning. It is optimized for speed and memory efficiency and can be used to quickly and easily build and deploy natural language understanding models. Try It: https://openai.com/blog/clip/ #NaturalLanguageProcessing #NLP #DeepLearning #MachineLearning #DataScience #AI #ML If you are building an AI solution or looking forward to open-source, please contact us or join our discord . Previous Next

  • Scikit-learn

    < Back Scikit-learn Fintech Scikit-learn is a powerful open-source machine learning library for Python. Try It: https://scikit-learn.org/ Try It: https://scikit-learn.org/ Scikit-learn is a powerful open-source machine learning library for Python. It is built on NumPy, SciPy, and matplotlib and contains a wide range of algorithms for classification, regression, clustering, and dimensionality reduction. It is designed to be easy to use and provide a consistent interface for working with different data types and modeling techniques. Scikit-learn is an essential tool for data scientists and machine learning practitioners, enabling them to quickly and easily build and test models, and analyze and visualize data. Try It: https://scikit-learn.org/ #MachineLearning #Python #DataScience #AI #ML If you are building an AI solution or looking forward to open-source, please contact us or join our discord . Previous Next

  • PyTorch

    < Back PyTorch General PyTorch is an open-source library for deep learning and machine learning. Try It: https://pytorch.org/ Try It: https://pytorch.org/ PyTorch is an open-source library for deep learning and machine learning. It is designed to be fast and flexible, and provides powerful features such as automatic differentiation and distributed training. PyTorch can be used for a variety of applications, including computer vision, natural language processing, and reinforcement learning. It is optimized for speed and memory efficiency and can be used to quickly and easily build and deploy deep learning and machine learning models. Try It: https://pytorch.org/ #DeepLearning #MachineLearning #DataScience #AI #ML If you are building an AI solution or looking forward to open-source, please contact us or join our discord . Previous Next

  • Electrical Engineer | Unitaslink

    ELECTRICAL ENGINEER I'm a paragraph. Click here to add your own text and edit me. It’s easy. Just click “Edit Text” or double click me to add your own content and make changes to the font. I’m a great place for you to tell a story and let your users know a little more about you. LOCATION San Francisco EMPLOYMENT TYPE Permanent What You’ll Do I'm a paragraph. Click here to add your own text and edit me. I’m a great place for you to tell a story and let your users know a little more about you. I'm a paragraph. Click here to add your own text and edit me. It’s easy. Just click “Edit Text” or double click me to add your own content and make changes to the font. I'm a paragraph. Click here to add your own text and edit me. I’m a great place for you to tell a story and let your users know a little more about you. I'm a paragraph. Click here to add your own text and edit me. I’m a great place for you to tell a story and let your users know a little more about you. I'm a paragraph. Click here to add your own text and edit me. It’s easy. Just click “Edit Text” or double click me to add your own content and make changes to the font. I'm a paragraph. Click here to add your own text and edit me. I’m a great place for you to tell a story and let your users know a little more about you. Who You are I'm a paragraph. Click here to add your own text and edit me. It’s easy. Just click “Edit Text” or double click me to add your own content and make changes to the font. I'm a paragraph. Click here to add your own text and edit me. I’m a great place for you to tell a story and let your users know a little more about you. I'm a paragraph. Click here to add your own text and edit me. It’s easy. Just click “Edit Text” or double click me to add your own content and make changes to the font. I'm a paragraph. Click here to add your own text and edit me. It’s easy. Just click “Edit Text” or double click me to add your own content and make changes to the font. I'm a paragraph. Click here to add your own text and edit me. I’m a great place for you to tell a story and let your users know a little more about you. Apply

  • Features | Unitaslink

    UnitasLink stands out as the go-to AI platform for several reasons Industry-specific focus Unlike other platforms, UnitasLink is specifically designed to cater to the unique needs of various industries, providing tailored AI models, datasets, and tools that address real-world challenges. Comprehensive resources UnitasLink offers a wide range of resources, including pre-trained models, datasets, educational materials, and APIs, making it a one-stop platform for AI research, development, and industry applications. Collaborative environment The platform fosters collaboration between users, encouraging knowledge sharing, innovation, and faster problem-solving, all within a supportive community of AI experts, developers, and enthusiasts. Customizable solutions The platform enables users to easily adapt pre-trained models and datasets for their specific industry needs, accelerating the development and deployment of AI solutions. Accessible and user-friendly UnitasLink's intuitive interface and diverse educational resources make AI research and development accessible to users of all skill levels, from beginners to seasoned professionals. Continuous growth and improvement UnitasLink is committed to staying at the forefront of AI technology, evolving with the growth of its user base and the AI industry to ensure it remains a valuable resource for businesses and individuals alike. - Be a part of AI revolution - Join UnitasLink Beta Join

  • XGBoost

    < Back XGBoost Fintech XGBoost is an open-source gradient boosting library for data science tasks. Try It:https://xgboost.readthedocs.io/en/latest/ Try It: https://xgboost.readthedocs.io/en/latest/ XGBoost is an open-source library for gradient boosting, a powerful machine learning technique used for data science tasks such as classification, regression, and ranking. It is designed to provide high performance, scalability, and accuracy. XGBoost is used in a wide range of applications, including recommendation systems, credit scoring, and time series forecasting. It is optimized for speed and memory efficiency, and is suitable for both large and small datasets. #GradientBoosting #MachineLearning #DataScience #AI #ML If you are building an AI solution or looking forward to open-source, please contact us or join our discord . Previous Next

  • Deep Learning Engineer | Unitaslink

    DEEP LEARNING ENGINEER I'm a paragraph. Click here to add your own text and edit me. It’s easy. Just click “Edit Text” or double click me to add your own content and make changes to the font. I’m a great place for you to tell a story and let your users know a little more about you. LOCATION San Francisco EMPLOYMENT TYPE Permanent What You’ll Do I'm a paragraph. Click here to add your own text and edit me. I’m a great place for you to tell a story and let your users know a little more about you. I'm a paragraph. Click here to add your own text and edit me. It’s easy. Just click “Edit Text” or double click me to add your own content and make changes to the font. I'm a paragraph. Click here to add your own text and edit me. I’m a great place for you to tell a story and let your users know a little more about you. I'm a paragraph. Click here to add your own text and edit me. I’m a great place for you to tell a story and let your users know a little more about you. I'm a paragraph. Click here to add your own text and edit me. It’s easy. Just click “Edit Text” or double click me to add your own content and make changes to the font. I'm a paragraph. Click here to add your own text and edit me. I’m a great place for you to tell a story and let your users know a little more about you. Who You are I'm a paragraph. Click here to add your own text and edit me. I’m a great place for you to tell a story and let your users know a little more about you. I'm a paragraph. Click here to add your own text and edit me. It’s easy. Just click “Edit Text” or double click me to add your own content and make changes to the font. I'm a paragraph. Click here to add your own text and edit me. I’m a great place for you to tell a story and let your users know a little more about you. I'm a paragraph. Click here to add your own text and edit me. I’m a great place for you to tell a story and let your users know a little more about you. I'm a paragraph. Click here to add your own text and edit me. It’s easy. Just click “Edit Text” or double click me to add your own content and make changes to the font. Apply

  • Submit Your Application | Unitaslink

    JOIN US Submit Your Application First Name Last Name Email Phone Position Select Position CV URL LinkedIn URL Any Comments Submit Thank you for your Application

  • Alphalens

    < Back Alphalens Fintech Alphalens is a Python library for performance analysis of machine learning-based trading strategies. Try It:https://github.com/quantopian/alphalens The TensorFlow Object Detection API is an open-source library for object detection using deep learning. It provides a collection of pre-trained models and tools for training, evaluating, and deploying object detection models. The library is designed to be easy to use and provides powerful features such as automatic model selection and hyperparameter tuning. The Object Detection API can be used for a variety of applications, including security systems, autonomous vehicles, and robotics. Try It: https://github.com/quantopian/alphalens #MachineLearning #Python #DataScience #AI #ML #Trading If you are building an AI solution or looking forward to open-source, please contact us or join our discord . Previous Next

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