I often use the Hunter Google Chrome extension to assist me in discovering the contact details of new outreach targets. The only drawback is that I quite often exceed my free monthly allowance of lead requests.
Hunter might be a bit more popular than PyTorch. We know about 150 links to it since March 2021 and only 112 links to PyTorch. 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.
We CAN get to over a million and start getting into the main stream news as I have connections and can use hunter.io, press release etc. Source: 8 months ago
Use hunter.io and reach out to business CEOs in my area (Denver) and see if I could work for them. Source: 11 months ago
Definitely speak to recruiters (Private Equity Recruiting is the top option in Europe, IMO), but the best way to do it is to use a tool like hunter.io to find the email addresses of general partners at top firms, and (I can't stress this enough) send them qualified dealflow with your high-level analysis (I'll also add more detail below). Source: about 1 year ago
What's an effective way of finding certain employees that work in a company. Like there contact info I know hunter.io but I need something better. Any input would be appreciated. Source: about 1 year ago
I need a free tool that I can use to send emails, follow-ups & track my companies, I was happy with Hunter.io but they Banned my account for NO reason. Source: about 1 year ago
How to Accomplish: Develop a script that iterates over the image database, preprocesses each image according to the model's requirements (e.g., resizing, normalization), and feeds them into the model for prediction. Ensure the script can handle large datasets efficiently by implementing batch processing. Use libraries like NumPy or Pandas for data management and TensorFlow or PyTorch for model inference. Include... - Source: dev.to / 16 days ago
Hi everyone! I’m devloker, and today I’m excited to share a project I’ve been working on: a digit recognition system implemented using pure math functions in Python. This project aims to help beginners grasp the mathematics behind AI and digit recognition without relying on high-level libraries like TensorFlow or PyTorch. You can find the complete code on my GitHub repository. - Source: dev.to / 15 days ago
PyTorch - An open source machine learning framework. PyTorch Tutorials - Tutorials and documentation. - Source: dev.to / 22 days ago
In this guide, we provided a comprehensive, step-by-step explanation of how to implement a simple GPT (Generative Pre-trained Transformer) model using PyTorch. We walked through the process of creating a custom dataset, building the GPT model, training it, and generating text. This hands-on implementation demonstrates the fundamental concepts behind the GPT architecture and serves as a foundation for more complex... - Source: dev.to / 29 days ago
PyTorch is a powerful and flexible deep learning framework that offers a rich set of features for building and training neural networks. - Source: dev.to / about 1 month ago
Snov.io - Sales engagement on autopilot.
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.
Apollo.io - Apollo’s predictive prospecting, sales engagement, and actionable analytics help the teams to reach its full revenue potential.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
ZoomInfo - ZoomInfo is a B2B database providing detailed business information on people and companies.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.