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🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Bringing Old Photo Back to Life (CVPR 2020 oral)
🚴 Call stack profiler for Python. Shows you why your code is slow!
Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators
Probabilistic time series modeling in Python
Sequence modeling benchmarks and temporal convolutional networks
Hummingbird compiles trained ML models into tensor computation for faster inference.
The machine learning toolkit for time series analysis in Python
Keras Attention Layer (Luong and Bahdanau scores).
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
Deep neural network to extract intelligent information from invoice documents.
A community based Python library for quantitative economics
A Python package for time series classification
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
A FREE comprehensive online Python development tutorial FOR KIDS utilizing an official BBC micro:bit Development Board going step-by-step into the world of Python for microcontrollers.
Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog
Machine Learning and Artificial Intelligence for Medicine.
A python package for computing distance between 2D trajectories.
Large medical text dataset curated for abbreviation disambiguation, designed for natural language understanding pre-training in the medical domain
🧠 A PyTorch implementation of 'Deep CORAL: Correlation Alignment for Deep Domain Adaptation.', ECCV 2016
Tensorflow implementation of Hyperspherical Variational Auto-Encoders
Implementation of papers on Deep Seq2seq learning using Pytorch.
Implementation of AdaBoost algorithm in Python
Implementation of Hardness-Aware Deep Metric Learning (CVPR 2019 Oral) in Tensorflow.
A script to use the PyWavelet library to perform denoising on a signal using a multi-level signal decomposition using a discrete wavelet transform.