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An opinionated list of awesome Python frameworks, libraries, software and resources.
📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings
A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.
🙃 A delightful community-driven (with 2,400+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python…
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Papers from the computer science community to read and discuss.
Models and examples built with TensorFlow
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
A curated list of awesome Machine Learning frameworks, libraries and software.
Apache Superset is a Data Visualization and Data Exploration Platform
SecLists is the security tester's companion. It's a collection of multiple types of lists used during security assessments, collected in one place. List types include usernames, passwords, URLs, se…
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
Realtime application framework (Node.JS server)
Independent technology for modern publishing, memberships, subscriptions and newsletters.
⚡ Serverless Framework – Effortlessly build apps that auto-scale, incur zero costs when idle, and require minimal maintenance using AWS Lambda and other managed cloud services.
Developer-first error tracking and performance monitoring
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
slatedocs / slate
Forked from ringcentral/slateBeautiful static documentation for your API
Instant voice cloning by MIT and MyShell. Audio foundation model.
Immutable persistent data collections for Javascript which increase efficiency and simplicity.
A modular graph-based Retrieval-Augmented Generation (RAG) system
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,…
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.