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Dean, DLI India's Projects

tensorflow-infogan icon tensorflow-infogan

InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets

tensorpack icon tensorpack

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

tensorrt icon tensorrt

TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.

text-gcn icon text-gcn

A PyTorch implementation of "Graph Convolutional Networks for Text Classification." (AAAI 2019)

text_gcn icon text_gcn

Graph Convolutional Networks for Text Classification. AAAI 2019

text_gcn.pytorch icon text_gcn.pytorch

PyTorch implementation of "Graph Convolutional Networks for Text Classification. Yao et al. AAAI2019."

tf-gans icon tf-gans

Tensorflow implementation of Generative Adversarial Networks

tf_geometric icon tf_geometric

Efficient and Friendly Graph Neural Network Library for TensorFlow 1.x and 2.x

the-best-books-on-blockchain icon the-best-books-on-blockchain

"The main advantage of blockchain technology is supposed to be that it's more secure, but new technologies are generally hard for people to trust, and this paradox can't really be avoided." ― Vitalik Buterin

the-incredible-pytorch icon the-incredible-pytorch

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

timeseries_gan icon timeseries_gan

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

timetk icon timetk

Time series analysis in the `tidyverse`

tips icon tips

Tangle Improvement Proposals for the IOTA technology stack.

transformer-cnn-emotion-recognition icon transformer-cnn-emotion-recognition

Speech Emotion Classification with novel Parallel CNN-Transformer model built with PyTorch, plus thorough explanations of CNNs, Transformers, and everything in between

transformers icon transformers

🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.

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