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An opinionated list of awesome Python frameworks, libraries, software and resources.
All Algorithms implemented in Python
scikit-learn: machine learning in Python
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
A toolkit for developing and comparing reinforcement learning algorithms.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
💫 Industrial-strength Natural Language Processing (NLP) in Python
⚡ A Fast, Extensible Progress Bar for Python and CLI
State-of-the-Art Text Embeddings
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
An orchestration platform for the development, production, and observation of data assets.
Manipulate audio with a simple and easy high level interface
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
A python library for user-friendly forecasting and anomaly detection on time series.
A Python implementation of global optimization with gaussian processes.
Efficiently computes derivatives of NumPy code.
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
A system for quickly generating training data with weak supervision
Uplift modeling and causal inference with machine learning algorithms
A light weight Python library for the Spotify Web API
Cookiecutter template for a Python package.
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
An implementation of a deep learning recommendation model (DLRM)