Search Results

< 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 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

< 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

< 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

< 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

< 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 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

< Back Prophet (Facebook) Fintech Prophet (Facebook) is an open-source forecasting library for time series data. Try It:https://facebook.github.io/prophet/ Try It: https://facebook.github.io/prophet/ Prophet (Facebook) is an open-source forecasting library for time series data. It provides a simple and intuitive interface for producing high-quality forecasts of future values in a wide range of applications. The library is designed to be easy to use and efficient, and provides powerful features such as automatic seasonal decomposition, automatic trend change detection, and automatic forecasting of future values. Prophet (Facebook) can be used to forecast sales, user engagement, stock prices, and other time series data. Try It: https://facebook.github.io/prophet/ #TimeSeries #Forecasting #DataAnalysis #MachineLearning #DataScience #AI If you are building an AI solution or looking forward to open-source, please contact us or join our discord . Previous Next

< 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

< 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 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 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