Simple and ready-to-use tutorials for TensorFlow
An Open Source Machine Learning Framework for Everyone
A practical approach to learning machine learning.
A flexible, high-performance serving system for machine learning models
A new method of pre-training language representations which obtains state-of-the-art results on a wide array of Natural Language Processing (NLP) tasks.
A high-level machine learning library that allows you to build programs that learn from data using the PHP language.
TiDB is a distributed HTAP database compatible with the MySQL protocol
Non official project based on original /r/Deepfakes thread
Code for the paper "Language Models are Unsupervised Multitask Learners"
An experimental framework for building neural networks in Tensorflow, particularly sequence models.
Deep Learning for humans
Open Machine Learning course mlcourse.ai, both in English and Russian
PyTorch version of Google AI's BERT model with script to load Google's pre-trained models
Google AI 2018 "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Paper URL" pytorch implementation
A recurrent neural network designed to generate classical music.
Tensorflow Implementation of "Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification" (ACL 2016)
The pytorch improved re-implementation of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.
VIP cheatsheets for Stanford's CS 229 Machine Learning
Similar to how Hadoop provides a set of general primitives for doing batch processing, Storm provides a set of general primitives for doing realtime computation
Python Script to download hundreds of images from 'Google Images'
this repository accompanies the book "Grokking Deep Learning"
Compiler for Neural Network hardware accelerators
Minimal PyTorch implementation of YOLOv3
A deep neural network for finding text-independent speaker embedding written in tensorflow and tensorpack
GPU- and TPU-backed NumPy with differentiation and JIT compilation.
Toolkit for Text Generation and Beyond
Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to drawn source images.
YOLOv3: Training and inference in PyTorch
PyTorch implementations of Generative Adversarial Networks.