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tensorflow-in-practise-specialization

Four Courses Specialization Tensorflow in practise Specialization

tensorflow-machine-learning

Implementing Machine Learning tasks using Tensorflow framework

tensorflow-machine-learning-cookbook-second-edition

TensorFlow Machine Learning Cookbook Second Edition, published by Packt

tensorflow-recommendation-wals

An end-to-end solution for website article recommendations based on Google Analytics data. Uses WALS matrix-factorization in TensorFlow, trained on Cloud ML Engine. Recommendations served with App Engine Flex and Cloud Endpoints. Orchestration is performed using Airflow on Cloud Composer. See the solution tutorials at:

tensorflow-serving

Serving TensorFlow Models

tensorflow_cookbook

Code for Tensorflow Machine Learning Cookbook

tensorflow_tutorials

From the basics to slightly more interesting applications of Tensorflow

tensorpipe

High Performance Tensorflow Data Pipeline with State of Art Augmentations and low level optimizations.

tensortrade

An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.

testing-and-monitoring-ml-deployments

Example project for the course "Testing & Monitoring Machine Learning Model Deployments"

text-generation-bilstm-pytorch

In this repository you will find an end-to-end model for text generation by implementing a Bi-LSTM-LSTM based model with PyTorch's LSTMCells.

tf-2.0-hacks

Contains my explorations of TensorFlow 2.x

tfmusicaudioencoder

An Autoencoder for WAV files

the-complete-neural-networks-bootcamp-theory-applications

Code Files for the Udemy Course: The Complete Neural Networks Bootcamp: Theory, Applications

the-incredible-pytorch

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

the-nlp-pandect

A comprehensive reference for all topics related to Natural Language Processing

the-pile

the-python-graph-gallery

A website displaying hundreds of charts made with Python

thinkbayes

Code repository for Think Bayes.

time-series-and-financial

Time series and Financial analysis in python

time-series-prediction-and-text-generation

Built RNNs that can generate sequences based on input data - with a focus on two applications: used real market data in order to predict future Apple stock prices using an RNN model. The second one will be trained on Sir Arthur Conan Doyle's classic novel Sherlock Holmes and generates wacky sentences based on it that may - or may not - become the next great Sherlock Holmes novel.

timeseers

Time should be taken seer-iously

tldrstory

AI-powered understanding of headlines and story text

tmls2020

tools-to-design-or-visualize-architecture-of-neural-network

Tools to Design or Visualize Architecture of Neural Network

tracking-ml-model-mlflow

This repository shows the use of MLflow to track parameters, metrics and artifacts of a pipeline on a machine learning model.

traffic-count-and-segmentation

Using PyTorch to detect and localize vehicles in an image and count the traffic.

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 Pytorch, TensorFlow, and JAX.

transformers-low-code-experiments

Low-code pre-built pipelines for experiments with huggingface/transformers for Data Scientists in a rush.