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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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bert

TensorFlow code and pre-trained models for BERT

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speech-to-text-wavenet

Speech-to-Text-WaveNet : End-to-end sentence level English speech recognition based on DeepMind's WaveNet and tensorflow

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deepspeech.torch

Speech Recognition using DeepSpeech2 network and the CTC activation function.

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eesen

The official repository of the Eesen project

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kaldi2htk

Script for converting kaldi GMM/HMM models to HTK format

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htk2kaldi

Convert a HMM/GMM model file from HTK to Kaldi format

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terngrad

Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)

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cutlass

CUDA Templates for Linear Algebra Subroutines

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protobuf

Protocol Buffers - Google's data interchange format

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handson-ml

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

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Paddle-Lite

PaddlePaddle High Performance Deep Learning Inference Engine for Mobile and Edge (飞桨高性能深度学习端侧推理引擎）

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fastivector

Fast ivector training and extraction in Kaldi using randomized SVD

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kaldi-ivector

Extension to Kaldi implementing the standard i-vector hyperparameter estimation and i-vector extraction procedure

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deeplearning-papernotes

Summaries and notes on Deep Learning research papers

tensorflow-wavenet

A TensorFlow implementation of DeepMind's WaveNet paper

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gloo

Collective communications library with various primitives for multi-machine training.

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ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform

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music-source-separation

Deep neural networks for separating singing voice from music written in TensorFlow

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deepspeech.mxnet

A MXNet implementation of Baidu's DeepSpeech architecture

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seq2seq

A general-purpose encoder-decoder framework for Tensorflow

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DeepBench

Benchmarking Deep Learning operations on different hardware

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tflearn

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

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TensorFlow-Examples

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

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tfkaldi

Speech recognition software where the neural net is trained with TensorFlow and GMM training and decoding is done in Kaldi

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Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

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 ;)

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g2p-seq2seq

G2P with Tensorflow

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kaldi

kaldi-asr/kaldi is the official location of the Kaldi project.

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ComputeLibrary

The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.

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merlin

This is now the official location of the Merlin project.

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