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awesome-biomechanics

A curated, public list collecting resources for biomechanics and human motion: datasets, processing tools, software for simulation, educational videos, lectures, etc.

awesome-explainable-graph-reasoning

A collection of research papers and software related to explainability in graph machine learning.

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

awesome-self-supervised-learning-for-graphs

A curated list for awesome self-supervised learning for graphs.

awesome-vaes

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

awesome_apis

:octocat: A collection of APIs

biomat

dip18

Deep Inertial Poser: Learning to Reconstruct Human Pose from Sparse Inertial Measurements in Real Time

domain-generalization

All about domain generalization

flow-forecast

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

iglm

Generative Language Modeling for Antibody Design

kiha_kinematic_pca

PCA analysis on kinematic profile of daily living activity

knee-mri-segmentation

Thesis & Code for my Segmentation and Age Prediction Model using CNNs and MRIs

machine-learning-collection

PyTorch Tutorials, TensorFlow Tutorials and Machine Learning Algorithms

madewithml

Learn how to responsibly deliver value with ML.

myproject

natural-language-processing-specialization

This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera

openai-cookbook

Examples and guides for using the OpenAI API

progen

Official release of the ProGen models

rl_trading

scikit-kinematics

Python functions for working with 3D kinematics.

stock-prediction-models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

time-series-prediction

A collection of time series prediction methods: rnn, seq2seq, cnn, wavenet, transformer, unet, n-beats, gan, kalman-filter

transformer

Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.

tsai

Time series Timeseries Deep Learning Pytorch fastai - State-of-the-art Deep Learning with Time Series and Sequences in Pytorch / fastai

tutorial_senstiment

sentiment and topic analysis of text

tutorial_sentiment

ydata-synthetic

Synthetic structured data generators