🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

🦜🔗 Build context-aware reasoning applications

A curated list of awesome Machine Learning frameworks, libraries and software.

Deep Learning for humans

the only cheat sheet you need

The uncompromising Python code formatter

TensorFlow code and pre-trained models for BERT

The simplest, fastest repository for training/finetuning medium-sized GPTs.

LlamaIndex is a data framework for your LLM applications

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

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,…

Interactive Data Visualization in the browser, from Python

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

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.

Code samples for my book "Neural Networks and Deep Learning"

Topic Modelling for Humans

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

DSPy: The framework for programming—not prompting—foundation models

AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents

🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

Parallel computing with task scheduling

Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.

An open-source NLP research library, built on PyTorch.

Mamba SSM architecture

PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis

Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.…

Statsmodels: statistical modeling and econometrics in Python

Deep learning library featuring a higher-level API for TensorFlow.

Modin: Scale your Pandas workflows by changing a single line of code

Bayesian Modeling and Probabilistic Programming in Python