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Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
FastAPI framework, high performance, easy to learn, fast to code, ready for production
A curated list of awesome Machine Learning frameworks, libraries and software.
LlamaIndex is a data framework for your LLM applications
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
PyTorch Tutorial for Deep Learning Researchers
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
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,…
Data Apps & Dashboards for Python. No JavaScript Required.
Graph Neural Network Library for PyTorch
Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.
Jupyter metapackage for installation, docs and chat
🦉 ML Experiments and Data Management with Git
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Static site generator that supports Markdown and reST syntax. Powered by Python.
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Pyodide is a Python distribution for the browser and Node.js based on WebAssembly
An open-source NLP research library, built on PyTorch.
Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait..…
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable,…
Always know what to expect from your data.
Modin: Scale your Pandas workflows by changing a single line of code
TensorFlow-based neural network library