shonaka's Stars
vinta/awesome-python
An opinionated list of awesome Python frameworks, libraries, software and resources.
avelino/awesome-go
A curated list of awesome Go frameworks, libraries and software
ray-project/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
yunjey/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
google/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
CodeHubApp/CodeHub
CodeHub is an iOS application written using Xamarin
fastai/fastbook
The fastai book, published as Jupyter Notebooks
microsoft/LightGBM
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
bharathgs/Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
James-Yu/LaTeX-Workshop
Boost LaTeX typesetting efficiency with preview, compile, autocomplete, colorize, and more.
pytorch/captum
Model interpretability and understanding for PyTorch
victoresque/pytorch-template
PyTorch deep learning projects made easy.
fastai/fastpages
An easy to use blogging platform, with enhanced support for Jupyter Notebooks.
guillaume-chevalier/LSTM-Human-Activity-Recognition
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
tslearn-team/tslearn
The machine learning toolkit for time series analysis in Python
guillaume-chevalier/Awesome-Deep-Learning-Resources
Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier
NeuroTechX/awesome-bci
Curated Collection of BCI resources
guillaume-chevalier/seq2seq-signal-prediction
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
brylevkirill/notes
Learn about Machine Learning and Artificial Intelligence
stanfordnmbl/osim-rl
Reinforcement learning environments with musculoskeletal models
ets-labs/python-vimrc
VIM Configuration for Python / Cython / C Development
madalinabuzau/tensorflow-eager-tutorials
Simple tutorials for building neural networks with TensorFlow Eager mode.
lspvic/jupyter_tensorboard
Start Tensorboard in Jupyter Notebook
FrancisArgnR/Time-series---deep-learning---state-of-the-art
Scientific time series and deep learning state of the art
neurodsp-tools/neurodsp
Digital signal processing for neural time series.
msmbuilder/vde
Variational Autoencoder for Dimensionality Reduction of Time-Series
danielgy/Paper-List-of-Time-Series-Forecasting-with-Deep-Learning
daiwk/ml-yearning
adrowan/PyDataLondon2017
Bayesian Deep Learning with Edward (and a trick using Dropout)
dwhitena/gofordatascience
Data science with Go on Go using tools written in Go