FastAPI framework, high performance, easy to learn, fast to code, ready for production

My implementation of Few-Shot Adversarial Learning of Realistic Neural Talking Head Models (Egor Zakharov et al.).

A library for easy and efficient manipulation of tensor networks.

A collection of papers on reinforcement learning applied to NLP

fklearn: Functional Machine Learning

A TensorFlow recommendation algorithm and framework in Python.

Curated Reinforcement Learning Resources for Natural Language Processing

Reinforcement learning for natural language processing reading group

Recent Deep Learning papers in NLU and RL

🔈 Deep Learning & 3D Convolutional Neural Networks for Speaker Verification

SincNet is a neural architecture for efficiently processing raw audio samples.

🐍 Client library to use the IBM Watson services in Python and available in pip as watson-developer-cloud

Django and MongoDB database connector

Toxic Comment Classification Challenge

NLP made easy

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

Codeless drop-in universal library allows to prevent issues of keyboard sliding up and cover UITextField/UITextView. Neither need to write any code nor any setup required and much more.

Oxford Deep NLP 2017 course

Algorithms and data structures in Swift, with explanations!

An Example JSON API for Perfect

OBD-II Java API

A Ruby API for use with an ELM327-based OBD-II interface.

Syntactic sugar in Swift for asynchronous dispatches in Grand Central Dispatch

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

Utility to work with loading images and handling image error, has image-holder to handle errors in image loading and image-loading for images loading placeholders

Syntactic sugar in Swift for asynchronous dispatches in Grand Central Dispatch (iOS7+ and OS X 10.9+ compatible)