TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

An attempt to answer the age old interview question "What happens when you type google.com into your browser and press enter?"

TensorFlow code and pre-trained models for BERT

A toolkit for developing and comparing reinforcement learning algorithms.

A playbook for systematically maximizing the performance of deep learning models.

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,…

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

Library for fast text representation and classification.

The fastai book, published as Jupyter Notebooks

💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

Faker is a Python package that generates fake data for you.

Instruct-tune LLaMA on consumer hardware

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

Lime: Explaining the predictions of any machine learning classifier

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive lea…

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…

Production infrastructure for machine learning at scale

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

Uplift modeling and causal inference with machine learning algorithms

Bitnami container images

AG2 (formerly AutoGen): The Open-Source AgentOS.Join us at: https://discord.gg/sNGSwQME3x

Language, engine, and tooling for expressing, testing, and evaluating composable language rules on input strings.

A collaborative list of great resources about RESTful API architecture, development, test, and performance

All the 23 (GoF) design patterns implemented in Javascript

🔋 Next.js + Tailwind CSS + TypeScript starter and boilerplate packed with useful development features

📊 A library of modular chart components built on D3

MITIE: library and tools for information extraction

Open-Source Large Vocabulary Continuous Speech Recognition Engine