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stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

statsmodels

Statsmodels: statistical modeling and econometrics in Python

storm

Mirror of Apache Storm

styleguide

Style guides for Google-originated open-source projects

swift

The Swift Programming Language

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

tcav

tech-interview-handbook

💯 Algorithms study materials, behavioral content and tips for rocking your coding interview

tensor2tensor

A library for generalized sequence to sequence models

tensorcomprehensions

A domain specific language to express machine learning workloads.

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

tensorflow-without-a-phd

A crash course in six episodes for software developers who want to become machine learning practitioners.

tensorflow_chatbot

Tensorflow chatbot demo by @Sirajology on Youtube

tensorflowonspark

TensorFlowOnSpark brings TensorFlow programs onto Apache Spark clusters

tensorlayer

TensorLayer: A Deep Learning and Reinforcement Learning Library for Researchers and Engineers.

text

Data loaders and abstractions for text and NLP

tf2_course

Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course

tfjs

A WebGL accelerated, browser based JavaScript library for training and deploying ML models.

tflearn

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

tfx

TFX is an end-to-end platform for deploying production ML pipelines

theano

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.

tools

Codelabs management & hosting tools

tpu

Reference models and tools for Cloud TPUs.

training-data-analyst

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

trfl

TensorFlow Reinforcement Learning

tutorials

universal-ai

Building Universal AI, by Advancing Tomorrow's State-of-the-art AI Developing AI, through BRAIN (Brainz Research of AI Neurons), AI Research Team under DeepBrainz AI, an AI Research and Development Division at @Deep-Brainz, "Empowering Humanity Universally!"