1980 Open source projects that are alternatives of or similar to Machine Learning Is All You Need

A Collection of resources I have found useful on my journey finding my way through the world of Deep Learning.

All Convolutional Network: (https://arxiv.org/abs/1412.6806#) implementation in Keras

Repository for Region Ensemble Network based Hand Pose Estimation

Semantic Image Inpainting

Anomaly detection for streaming data using autoencoders

Handwritten Chinese Characters Generation

Keras implementation of Human Action Recognition for the data set State Farm Distracted Driver Detection (Kaggle)

StarNet

Rubi for Mathematica

🖼 Create artwork from your casual sketch with GAN and style transfer

A High-Quality PyTorch Implementation of "Globally and Locally Consistent Image Completion".

[ICML 2018] "Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions"

Artificial neural network classes and tools in Python and TensorFlow.

A Survey and Experiments on Annotated Corpora for Emotion Classification in Text

This's an implementation of deepmind Visual Interaction Networks paper using pytorch

TensorFlow implementation of AlexNet and its training and testing on ImageNet ILSVRC 2012 dataset

A repository to keep track of all the code that I end up writing for my blog posts.

A Neural Networking library based on NumPy only

Tensorflow Implementation of Recurrent Neural Network (Vanilla, LSTM, GRU) for Text Classification

[ECCV 2020 Spotlight] A Simple and Versatile Framework for Image-to-Image Translation

Reinforcement learning models in ViZDoom environment

ECG classification from short single lead segments (Computing in Cardiology Challenge 2017 entry)

🤖 Neural SPARQL Machines for Knowledge Graph Question Answering.

Focal Frequency Loss for Generative Models

Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.

DeepNude Command Line Version With Watermark Removed

Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.

a collection of my notes on deep learning

Learned representation for Offline Handwritten Signature Verification. Models and code to extract features from signature images.

ECCV 2018 "T2Net: Synthetic-to-Realistic Translation for Depth Estimation Tasks"

Efficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Creats new kinds of pokemons using WGAN!

Neural word segmentation with rich pretraining, code for ACL 2017 paper

Word Embedding + LSTM + FC

Master Thesis: Limit order placement with Reinforcement Learning

A Bitcoin trade robot based on Tensorflow LSTM model.Just for fun.

Trading Environment(OpenAI Gym) + PPO(TensorForce)

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine

Human Video Generation Paper List

LSTM and GRU in PyTorch

A specially designed light version of Fast AutoAugment

GANs for time series generation in pytorch

🎓 Tidy tools for academics

Official PyTorch implementation of NICE-GAN: Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation

A deep reinforcement learning bot that plays tetris

An offline deep reinforcement learning library

The deeplearning algorithms implemented by tensorflow

Assignment solutions for the CS231n course taught by Stanford on visual recognition. Spring 2017 solutions are for both deep learning frameworks: TensorFlow and PyTorch.

Basic versions of agents from Spinning Up in Deep RL written in PyTorch

Labeled images of the Where's Waldo puzzle for use in classification and image recognition problems.

Models for predicting emotions from English tweets.

PyTorch implementations of LSTM Variants (Dropout + Layer Norm)

Explore Action Recognition

Tensorflow implementation of different GANs and their comparisions

Annotation of ECG signals using deep learning, tensorflow’ Keras

Dynamic Image Networks for Action Recognition

Udacity Self-Driving Car Engineer Nanodegree projects.