:zap: Delightful Node.js packages and resources [BECAUSE OF TOO MUCH SPAM AND LOW-QUALITY SUBMISSIONS, SUBMISSIONS ARE PAUSED TEMPORARILY]
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:zap: Delightful Node.js packages and resources [BECAUSE OF TOO MUCH SPAM AND LOW-QUALITY SUBMISSIONS, SUBMISSIONS ARE PAUSED TEMPORARILY]
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
🎨 A curated list of delightful VS Code packages and resources.
TranslatedDeep Learning Tutorial, excellent articles
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
TranslatedA collection of technical quick-reference lists (Cheat Sheets) for developers, organizing common technologies, tools, and development workflows to help quickly look up key information and improve development efficiency.
Server-side Swift: a map to Perfect's Swift 6 packages: HTTP server, databases, sessions, sign-in, email, FileMaker and more. PerfectLib is on the legacy branch.
A curated list of bookmarks, packages, tutorials, videos and other cool resources from the Laravel ecosystem
A curated list of awesome Android packages and resources.
Open Machine Learning Course
A community driven list of useful Emacs packages, libraries and other items.
TranslatedInterview = Resume Guide + Algorithm Problems + Standard Interview Q&A (八股文, "eight-legged essay") + Source Code Analysis
🏅 Collection of Kaggle Solutions and Ideas 🏅
A curated list of awesome R packages, frameworks and software.
TranslatedA curated list of insanely awesome libraries, packages and resources for systematic trading. Crypto, Stock, Futures, Options, CFDs, FX, and more | quantitative trading | quantitative investing
A sample project that exists for PyPUG's "Tutorial on Packaging and Distributing Projects"
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
Promise packages, patterns, chat, and tutorials
📦 A Human's Ultimate Guide to setup.py.
TranslatedThis is a step-by-step guide to getting started with AI/LLM large models, including tutorials and demo code, taking you from APIs to local large model deployment and fine-tuning. The code files come with Kaggle or Colab online versions, so you can learn even without a graphics card. The project also has a small code playground 🎡 where you can try out some interesting AI scripts. It also includes complete Chinese mirror assignments for Hung-Yi Lee's (HUNG-YI LEE) 2024 Introduction to Generative AI course.
TranslatedKnowledge, code, and ideas for data mining, computer vision, natural language processing, and recommender system competitions
Awesome npm resources and tips