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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

< 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

< Back BallTracking Sportstech BallTracking Dataset is an open-source collection of videos for training and testing ball tracking algorithms. Try It:https://github.com/jrobchin/balltracking-dataset Try It: https://github.com/jrobchin/balltracking-dataset The BallTracking Dataset is an open-source collection of videos intended for use in training and testing ball tracking algorithms. It consists of 10,000 videos of various sports, including soccer, basketball, and volleyball. The dataset contains a variety of features such as frame rate, resolution, and ball movement. It is designed to provide a realistic representation of ball tracking data and can be used to train models for object detection, motion tracking, and other vision-based tasks. Try It: https://github.com/jrobchin/balltracking-dataset #BallTracking #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

< Back OpenCV General OpenCV is an open-source library for computer vision and image processing. Try It: https://opencv.org/ Try It: https://opencv.org/ OpenCV is an open-source library for computer vision and image processing. It is designed to be fast and efficient, and provides powerful features such as object detection, tracking, and 3D reconstruction. OpenCV can be used for a variety of applications, including facial recognition, augmented reality, and robotics. It is optimized for speed and memory efficiency and can be used to quickly and easily build and deploy computer vision and image processing models. Try It: https://opencv.org/ #ComputerVision #ImageProcessing #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

< Back Annoy Ecommerce Annoy (Spotify) is an open-source library for approximate nearest neighbors search. Try It: https://github.com/spotify/annoy Try It: https://github.com/spotify/annoy Annoy (Spotify) is an open-source library for approximate nearest neighbors search. It is designed to be fast and accurate, and provides powerful features such as automatic model selection and hyperparameter tuning. Annoy can be used for a variety of applications, including recommendation systems, image retrieval, and natural language processing. It is optimized for speed and memory efficiency and can be used to quickly and easily build and deploy nearest neighbor search models. Try It: https://github.com/spotify/annoy #NearestNeighborsSearch #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

< Back TensorFlow Object Detection API Sportstech 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 Try It: https://github.com/tensorflow/models/tree/master/research/object_detection 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/tensorflow/models/tree/master/research/object_detection #ObjectDetection #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

< Back Keras General Keras is an open-source library for deep learning and machine learning. Try It: https://keras.io/ Try It: https://keras.io/ Keras 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. Keras 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://keras.io/ #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

< Back Ludwig Ecommerce Ludwig (Uber) is an open-source library for model training and experiment tracking. Try It: https://ludwig.ai/ Try It: https://ludwig.ai/ Ludwig (Uber) is an open-source library for model training and experiment tracking. It is designed to be easy to use and provides powerful features such as automatic model selection and hyperparameter tuning. Ludwig can be used for a variety of applications, including image and text classification, object detection, and sequence modeling. It is optimized for speed and memory efficiency and can be used to quickly and easily build and deploy machine learning models. Try It: https://ludwig.ai/ #ModelTraining #ExperimentTracking #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

< Back LightFM Ecommerce LightFM (Lyst) is an open-source library for building recommendation systems. Try It: https://github.com/lyst/lightfm Try It: https://github.com/lyst/lightfm LightFM (Lyst) is an open-source library for building recommendation systems. It is designed to be fast and accurate, and provides powerful features such as automatic model selection and hyperparameter tuning. LightFM can be used for a variety of applications, including product recommendations, music recommendations, and movie recommendations. It is optimized for speed and memory efficiency and can be used to quickly and easily build and deploy recommendation systems. Try It: https://github.com/lyst/lightfm #RecommendationSystems #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

< Back TA-Lib Fintech TA-Lib is a popular open-source software library that provides tools for technical analysis of financial markets. Try It: https://github.com/mrjbq7/ta-lib Try It: https://github.com/mrjbq7/ta-lib TA-Lib, short for Technical Analysis Library, is a comprehensive collection of over 150 functions for analyzing financial market data and developing trading strategies. The library includes tools for handling price data, calculating various technical indicators (such as moving averages, oscillators, and trendlines), and performing pattern recognition. By using TA-Lib, developers can easily implement and test trading algorithms, evaluate the performance of different strategies, and gain insights into market trends and potential trading opportunities. TA-Lib is widely used by trading software developers, quantitative analysts, and financial market researchers. Try It: https://github.com/mrjbq7/ta-lib #FinancialAnalysis #TechnicalAnalysis #Trading #Finance #StockMarket 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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< Back VGG16 (Oxford) Ecommerce VGG16 (Oxford) is an open-source convolutional neural network for image classification. Try It: https://www.robots.ox.ac.uk/~vgg/research/very_deep/ Try It: https://www.robots.ox.ac.uk/~vgg/research/very_deep/ VGG16 (Oxford) is an open-source convolutional neural network for image classification. It is designed to be highly accurate and efficient, and is suitable for both large and small datasets. VGG16 can be used for a variety of applications, including image recognition, object detection, and object segmentation. It is optimized for speed and memory efficiency and can be used to quickly and easily build and deploy image classification models. Try It: https://www.robots.ox.ac.uk/~vgg/research/very_deep/ #ImageClassification #CNN #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