Based on our record, PyTorch seems to be a lot more popular than DappRadar. While we know about 133 links to PyTorch, we've tracked only 12 mentions of DappRadar. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
The new DappRadar Report on Blockchain Technology Adoption and Decentralized Applications (DApp) highlighted that despite bearish trends in the crypto market during 2022, the NFT industry experienced significant growth. Source: over 2 years ago
DappRadar - the most popular tracker that provides information and insights about all the existing dapps! Source: over 2 years ago
The Aurora Network is live on DappRadar. You can now explore the data of your favorite Aurora Dapps on dappradar.com. Source: about 3 years ago
🗺 DappRadar is a data acquisition and analysis company that tracks over 3,500 decentralized applications (dapps) across multiple blockchains. Source: over 3 years ago
The Flow blockchain from Dapper Labs, the creators of CryptoKitties, chase Flow Blockchain: Home of NBA TopShoot. With NBA TopShoot brands embracing blockchain, NBA teams, players, and history are minted into NFTs that are sold to fans. Over 100M in crypto-collectible NFT has been sold. - Source: dev.to / over 3 years ago
To aspiring innovators: Dive into open-source frameworks like OpenCV or PyTorch, experiment with custom object detection models, or contribute to projects tackling bias mitigation in training datasets. Computer vision isn’t just a tool, it’s a bridge between the physical and digital worlds, inviting collaborative solutions to global challenges. The next frontier? Systems that don’t just interpret visuals, but... - Source: dev.to / about 1 month ago
With the quick emergence of new frameworks, libraries, and tools, the area of artificial intelligence is always changing. Programming language selection. We're not only discussing current trends; we're also anticipating what AI will require in 2025 and beyond. - Source: dev.to / about 2 months ago
Next, we define a training loop that uses our prepared data and optimizes the weights of the model. Here's an example using PyTorch:. - Source: dev.to / 2 months ago
8. TensorFlow and PyTorch: These frameworks support AI and machine learning integrations, allowing developers to build and deploy intelligent models and workflows. TensorFlow is widely used for deep learning applications, offering pre-trained models and extensive documentation. PyTorch provides flexibility and ease of use, making it ideal for research and experimentation. Both frameworks support neural network... - Source: dev.to / 4 months ago
Frameworks like TensorFlow and PyTorch can help you build and train models for various tasks, such as risk scoring, anomaly detection, and pattern recognition. - Source: dev.to / 4 months ago
Dapp Store - DappStore is a platform, which lists all popular dApps
TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
Universal Dapp Store - Discover decentralized apps on ETH, Blockstack, IPFS & more
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
AppScope - Appscope, one of the leading directories for Progressive Web Apps (PWAs).
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.