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A Python framework for Automated Machine Learning (AutoML), hyperparameter tunning and program synthesis in general.
automl python machine-learning code
An ergonomic machine learning API designed for non-technical users.
automl libra machine-learning code
Learning to Summarize with Human Feedback
Human feedback models outperform much larger supervised models and reference summaries on TL;DR
text-summarization human-feedback feedback-loops openai
PyTorch Performance Tuning Guide - Szymon Migacz, NVIDIA
ECCV 2020 Tutorial on Accelerating Computer Vision with Mixed Precision
pytorch mixed-precision eccv-2020 demo
Fast image augmentation library and easy to use wrapper around other libraries.
data-augmentation computer-vision demo notebook
Image Similarity Search in PyTorch
Simple Convolutional Auto-encoder based image similarity search to find similar images to given image or features. Fully written in PyTorch.
image-similarity-search pytorch autoencoders computer-vision
DeepR — Training TensorFlow Models for Production
DeepR is a Python library to build complex pipelines as easily as possible on top of Tensorflow.
production tensorflow pipelines mlflow
Label Studio
Label Studio is a multi-type data labeling and annotation tool with standardized output format.
annotation natural-language-processing computer-vision library
Discovering Symbolic Models from Deep Learning w/ Inductive Bias
A general approach to distill symbolic representations of a learned deep model by introducing strong inductive biases.
symbolic-models inductive-bias graph-neural-networks graphs
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