GitHub Copilot
Cursor
Codeium
Tabnine
ChatGPT
Awesome ChatGPT Prompts
The Ultimate SEO Prompt Collection
150 ChatGPT 4.0 prompts for SEO
PyTorch
TensorFlow
Scikit-learn
Keras
OpenCV
NumPy
CUDA Toolkit
Pandas
Trained on billions of lines of public code, GitHub Copilot puts the knowledge you need at your fingertips, saving you time and helping you stay focused.
GitHub Copilot PyTorchIt definitely increases my productivity.
Based on our record, GitHub Copilot should be more popular than PyTorch. It has been mentiond 318 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.
The rise of tools like GitHub Copilot, V0.dev, and conversational coding assistants show us one thing: frontend development is moving towards a chat-first experience. - Source: dev.to / about 7 hours ago
Tools like GitHub Copilot, Cursor, and even ChatGPT itself can help developers generate, debug, and optimize code faster than ever. - Source: dev.to / 5 days ago
I’ve spent quite some time experimenting with different AI coding assistants. GitHub Copilot and Cursor have been my primary tools in the past. Copilot is great for inline completions but still struggles with deeper code context. Cursor can understand the entire project context and is a powerful coding companion. - Source: dev.to / 7 days ago
GitHub Copilot remains the most widely used AI coding assistant, with over 20 million users and adoption in 77,000+ organizations, powering 40% of GitHub's $2B annual recurring revenue. It integrates deeply with VS Code, Visual Studio, JetBrains IDEs, and now expanded to Eclipse, Xcode, and terminal environments like GitHub CLI. - Source: dev.to / 9 days ago
General copilots like GitHub Copilot X or Google Gemini Code Assist work across many languages and frameworks, making them everyday companions for most developers. - Source: dev.to / 10 days ago
Machine learning (ML) teaches computers to learn from data, like predicting user clicks. Start with simple models like regression (predicting numbers) and clustering (grouping data). Deep learning uses neural networks for complex tasks, like image recognition in a Vue.js gallery. Tools like Scikit-learn and PyTorch make it easier. - Source: dev.to / about 2 months ago
Explicit CUDA/GPU version: on https://pytorch.org, select your OS and desired CUDA version, and then modify the generated command to include your torch version. - Source: dev.to / 3 months 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 / 5 months 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 / 5 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 / 6 months ago
Cursor - The AI-first Code Editor. Build software faster in an editor designed for pair-programming with AI.
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.
Codeium - Free AI-powered code completion for *everyone*, *everywhere*
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Tabnine - TabNine is the all-language autocompleter. We use deep learning to help you write code faster.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
