Edward
blei-lab
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
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Results: 50
blei-lab
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
keithito
A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model (unofficial)
KichangKim
AI based multi-label girl image classification system, implemented by using TensorFlow.
ematvey
Document classification with Hierarchical Attention Networks in TensorFlow. WARNING: project is currently unmaintained, issues will probably not be addressed.
astrumai
Practical Exercises in TensorFlow 2.0 for Ian Goodfellows Deep Learning Book
FreeBirdsCrew
AI ChatBot using Python Tensorflow and Natural Language Processing (NLP) along side TFLearn
tensorlang
Tensorlang, a differentiable programming language based on TensorFlow
donnemartin
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumP…
horovod
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
PeterL1n
Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!
thtrieu
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
uber
Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks…
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