LeetCode
HackerRank
Project Euler
Codewars
CodeForces
Exercism
interviewing.io
Coderbyte
Dlib
OpenCV
PyTorch
Face Recognition
Scikit Image
TensorFlow
SimpleCV
Kaldi ASR
LeetCodeLeetCode is the best platform to help people practice solving coding problems and prepare for technical interviews. The main users are software engineers. LeetCode has over 1,900 questions covering many different programming concepts.
Based on our record, LeetCode seems to be a lot more popular than Dlib. While we know about 543 links to LeetCode, we've tracked only 17 mentions of Dlib. 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.
Category Tool URL How I used it General AI assistant ChatGPT Https://chatgpt.com Breaking down concepts, simulating interviewers, reviewing answers AI writing / reasoning Claude Https://claude.ai Refining behavioral stories and system design explanations Coding practice LeetCode Https://leetcode.com Core DSA practice and timed coding drills Coding explanations NeetCode Https://neetcode.io Pattern-based... - Source: dev.to / 2 months ago
Plain BST. Fine when input is random or the problem doesn't require worst-case guarantees. Tree problems on LeetCode typically assume balanced input and don't ask you to maintain balance yourself. - Source: dev.to / 2 months ago
Your preparation should not be random. Platforms like LeetCode, Codeforces, and GeeksforGeeks are toolsโbut what matters is how you use them. - Source: dev.to / 3 months ago
Bash /path/to/chrome-launcher.sh email001@gmail.com https://leetcode.com. - Source: dev.to / 4 months ago
AI-Powered Learning Tools: Consider using AI-driven platforms like Khan Academy or LeetCode that can personalize your learning experience based on your progress and skill level. - Source: dev.to / 10 months ago
The apparent gender estimates from photos are using dlib, and I really ought to get what I'm doing cleaned up in such a way that other people can use it easily. Source: over 3 years ago
Additionally, C++ may be used for extremely high levels of optimization even for cloud-based ML. Dlib and Kaldi are C++ libraries used as dependencies in Python codebases for computer vision and audio processing, for example. So if your application requires you to customize any functions similar to those libraries, then you'll need C++ knowhow. Source: over 3 years ago
If you know C++, you don't need anything else. Go and learn APIs for C++ libraries. If you're into DSP, why not study Dlib?. Source: over 3 years ago
The data is mostly in this spreadsheet. The apparently facial gender estimates are made with Dlib. The mental health assessments are from Beck's Depression Inventory and the Snaith-Hamilton Pleasure Scale. The graph is made with gnuplot. Source: over 3 years ago
The plugin uses dlib library with a very fast HOG detector for both face recognition and detector following the relative examples. Source: almost 4 years ago
HackerRank - HackerRank is a platform that allows companies to conduct interviews remotely to hire developers and for technical assessment purposes.
OpenCV - OpenCV is the world's biggest computer vision library
Project Euler - Project Euler is a series of challenging mathematical/computer programming problems that will...
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Codewars - Achieve code mastery through challenge.
Face Recognition - Face Recognition is an app that is used for testing different facial recognition methods such as Caffe and Neural Networks to name a few.
