hsakas

TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

python-fire

Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.

fastai

The fastai deep learning library

handson-ml

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

jupyter-themes

Custom Jupyter Notebook Themes

TensorFlow-Tutorials

TensorFlow Tutorials with YouTube Videos

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

awesome-rl

Reinforcement learning resources curated

BayesianOptimization

A Python implementation of global optimization with gaussian processes.

imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

darkflow

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

skorch

A scikit-learn compatible neural network library that wraps PyTorch

Augmentor

Image augmentation library in Python for machine learning.

practical-pytorch

Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained

handong1587.github.io

deepframeworks

Evaluation of Deep Learning Frameworks

nitrain

The easiest way to train AI models on medical images with pytorch or keras

keras-yolo2

Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

pytorch-seq2seq

An open source framework for seq2seq models in PyTorch.

welcome_tutorials

Various tutorials given for welcoming new students at MILA.

Seq2Seq-PyTorch

Sequence to Sequence Models with PyTorch

Autoencoders

Torch implementations of various types of autoencoders

A-Collection-of-important-tasks-in-pytorch

Everyday things people use in Pytorch. No need to spend hours reading Pytorch forums trying to find them!

chainermn

ChainerMN: Scalable distributed deep learning with Chainer

MSTAR_tensorflow

Tensorflow Project to Classify MSTAR image chips

keras_gpyopt

Using Bayesian Optimization to optimize hyper parameter in Keras-made neural network model.

VGG16-Model-Transfer-Learning

Transfer learning using tensorflow VGG16 image classification model