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tf-troubleshooting

Quick tricks for troubleshooting TF

tf-yarn

Train TensorFlow models on YARN in just a few lines of code!

tf2-cyclegan

TensorFlow 2 implementation of CycleGAN with multi-GPU training.

tf2-published-models

Sarus implementation of classical ML models. The models are implemented using the Keras API of tensorflow 2. Vizualization are implemented and can be seen in tensorboard.

tf2_course

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

tf2_primer

A Primer on TF 2

tf_sprinkles

Fast and efficient sprinkles augmentation implemented in TensorFlow

tfrs-on-retail-data

Tensorflow Recommenders with Example on Retail Data

tgen

Statistical NLG for spoken dialogue systems

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.

thunder

scalable analysis of images and time series

tick

Module for statistical learning, with a particular emphasis on time-dependent modelling

tigramite

Tigramite is a time series analysis python module for causal discovery. The Tigramite documentation is at

tigramite_old

Tigramite is a time series analysis python module for linear and information-theoretic causal inference. Version 3.0 described in http://arxiv.org/abs/1702.07007 is available at https://github.com/jakobrunge/tigramite!

timeseries-clustering-vae

Variational Recurrent Autoencoder for timeseries clustering in pytorch

timeseries-seq2seq-deeplstms-keras

This project aims to give you an introduction to how Seq2Seq based encoder-decoder neural network architectures can be applied on time series data to make forecasts. The code is implemented in pyhton with Keras (Tensorflow backend).

timeseries_gan

A tensorflow implementation of GAN ( exactly InfoGAN or Info GAN ) to one dimensional ( 1D ) time series data.

tinker

topk-extrame-omikuji

An efficient implementation of Partitioned Label Trees & its variations for extreme multi-label classification

topk-extreme-parabel

Implementation of Parabel (Partitioned Label Trees for Extreme Classification) in Python

topk_xtremecontextualbandits

Top-k eXtreme Contextual Bandits

torch_helpers_knickknacks

Many simple useful PyTorch things related mainly to model manipulation (e.g. add, delete, record from layers) in one place

torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

torchease

Implementation of Embarrassingly Shallow Autoencoders (Harald Steck) in PyTorch

torchinfo

View model summaries in PyTorch!

tpot

A Python tool that automatically creates and optimizes machine learning pipelines using genetic programming.

transfm

transformers

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

transformers-embedder

A Word Level Transformer layer based on PyTorch and 🤗 Transformers.

transformers-ner

Simple NER model, showcasing Transformer Embedder library.