
3commas
Cryptohopper
Coinrule
TradeSanta
Bitsgap
Pionex
TradingView
HaasOnline
TensorFlow
PyTorch
Keras
IBM Watson Studio
Scikit-learn
Azure Machine Learning Service
Pega Platform
Azure Machine Learning Studio
3commas3Commas is recommended for cryptocurrency traders who are looking for automation to improve their trading strategies. It is suitable for both beginners who are interested in simplified trading solutions and experienced traders who wish to leverage advanced features like trading bots and detailed analytics.
easy to use
Based on our record, 3commas should be more popular than TensorFlow. It has been mentiond 51 times since March 2021. 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.
Is your crypto only EFT traded or anything like https://3commas.io/ in it? - Source: Hacker News / 9 months ago
Pretty cool. I've been wondering about DO: https://undervalued.ai/analysis/DOCN how can they keep going with AWS and GCP. Would be cool to pick 10 sample portfolios and keep running them thru this 24/7 with fake money and publish how good it is. Reminds me of https://3commas.io/ for coins. - Source: Hacker News / over 1 year ago
Choose your plan: https://3commas.io/. Source: almost 3 years ago
Friendly reminder: Check that your API keys are inactive. I lost a lot of cash from the illegal use of my api keys. It's my fault for trusting 3commas.io encryption. This would not trigger sign in notices, but it is just another thing I wish someone would have told me. Coinbase takes zero responsibility for loss of access to your account if you leave your password on a third-party trading system. Source: about 3 years ago
Both Tafabot and 3commas provide traders with powerful tools to automate trades and maximize profits. Source: over 3 years ago
The open-source movement offers hope here. Projects like Hugging Face are democratizing access to state-of-the-art models, while initiatives like Google's TensorFlow provide powerful frameworks without licensing costs. But even open-source solutions require technical expertise that many lack. - Source: dev.to / 6 months ago
Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow library. - Source: dev.to / over 3 years ago
So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. Source: about 4 years ago
Can anyone offer up an explanation for why there is a performance difference, and if possible, what could be done to fix it. I'm using the installation guidelines found on tensorflow.org and installing tf2.7 through pip using an anaconda3 env. Source: over 4 years ago
I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: over 4 years ago
Cryptohopper - Cryptohopper is the best crypto trading bot currently available, 24/7 trading automatically in the cloud. Easy to use, powerful and extremely safe. Trade your cryptocurrency now with Cryptohopper, the automated crypto trading bot.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Coinrule - Coinrule empowers traders to compete with professional algorithmic traders and hedge funds.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
TradeSanta - Trade Santa is a cloud software platform that automates crypto trading strategies. Cryptocurrency trading bots are available for Binance, Huobi, Upbit, Bittrex, Bitfinex, and Hitbtc.
IBM Watson Studio - Learn more about Watson Studio. Increase productivity by giving your team a single environment to work with the best of open source and IBM software, to build and deploy an AI solution.