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Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
All Algorithms implemented in 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.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Robust Speech Recognition via Large-Scale Weak Supervision
Python tool for converting files and office documents to Markdown.
Models and examples built with TensorFlow
real time face swap and one-click video deepfake with only a single image
A curated list of awesome Machine Learning frameworks, libraries and software.
scikit-learn: machine learning in Python
Scrapy, a fast high-level web crawling & scraping framework for Python.
💫 Toolkit to help you get started with Spec-Driven Development
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
LlamaIndex is the leading framework for building LLM-powered agents over your data.
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Streamlit — A faster way to build and share data apps.
🎨 Diagram as Code for prototyping cloud system architectures
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
TensorFlow code and pre-trained models for BERT
Federated query engine for AI - The only MCP Server you'll ever need
🥧 HTTPie CLI — modern, user-friendly command-line HTTP client for the API era. JSON support, colors, sessions, downloads, plugins & more.
Official Code for DragGAN (SIGGRAPH 2023)
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, i…
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more