Deepfakes Software For All

The most cited deep learning papers

DeepFaceLab is the leading software for creating deepfakes.

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )

Learn OpenCV : C++ and Python Examples

pix2code: Generating Code from a Graphical User Interface Screenshot

machine learning and deep learning tutorials, articles and other resources

Latex code for making neural networks diagrams

Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)

A paper list of object detection using deep learning.

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Mapping a variable-length sentence to a fixed-length vector using BERT model

WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript.

Caffe2 is a lightweight, modular, and scalable deep learning framework.

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

Ludwig is a toolbox that allows to train and evaluate deep learning models without the need to write code.

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

MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

Synthesizing and manipulating 2048x1024 images with conditional GANs

An open source library for deep learning end-to-end dialog systems and chatbots.

A flexible, high-performance serving system for machine learning models

TensorFlow documentation

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

⏰ AI conference deadline countdowns

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

PyTorch implementation of Super SloMo by Jiang et al.