1272 Open source projects that are alternatives of or similar to Deepfacelab

Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization (TPAMI2018)

U-Net: Convolutional Networks for Biomedical Image Segmentation

This repo is meant for backend API for face comparision and computer vision. It is built on python flask framework

Awesome Generative Adversarial Networks with tensorflow

Remaining Useful Life (RUL) estimation of Lithium-ion batteries using deep LSTMs

Python wrapper for the arXiv API

Product-Aware Answer Generation in E-Commerce Question-Answering

Image Forgery Detection using Deep Learning, implemented in PyTorch.

A project for processing neural networks and rendering to gain insights on the architecture and parameters of a model through a decluttered representation.

Neural Style and MSG-Net

The implementation of DeBERTa

Vector Hub - Library for easy discovery, and consumption of State-of-the-art models to turn data into vectors. (text2vec, image2vec, video2vec, graph2vec, bert, inception, etc)

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

A flask website for style transfer

Implementation of handwriting generation with use of recurrent neural networks in tensorflow. Based on Alex Graves paper (https://arxiv.org/abs/1308.0850).

Deep troll uses a deep learning model that identifies whether an audio contains the Gemidao troll (AAAWN OOOWN NHAAA AWWWWN AAAAAH).

Deep Learning Specialization by Andrew Ng on Coursera.

This repository contains our POC for a website which can easily check videos for manipulated areas. It was part of the Hackathon for Good in the Hague, 2019.

OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research

My presentation at ODSC India 2018 about Deep Learning with Apache Spark

🚘 "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.

No description or website provided.

Real-time portrait segmentation for mobile devices

DeepDetect performance sheet

Recurrent (conditional) generative adversarial networks for generating real-valued time series data.

Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"

High-level Deep Learning Framework written in Kotlin and inspired by Keras

Tensorflow Implementation of the paper "Topology Adaptive Graph Convolutional Networks" (Du et al., 2017)

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

Final Project of the Udacity AI Programming with Python Nanodegree

Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.

Sparse learning in TensorFlow using data acquired from Spark.

Code for reproducing Manifold Mixup results (ICML 2019)

PyTorch Tutorial for Deep Learning Researchers

Official PyTorch Repo for "ReZero is All You Need: Fast Convergence at Large Depth"

Official implementation of "Variable-Rate Deep Image Compression through Spatially-Adaptive Feature Transform", ICCV 2021

Brevitas: quantization-aware training in PyTorch

This is a pytorch re-implementation of EAST: An Efficient and Accurate Scene Text Detector.

AI 尬舞机

Caffe: a Fast framework for deep learning. Custom version with built-in sparse inputs, segmentation, object detection, class weights, and custom layers

Tensorflow implementation of CycleGAN

C++ Helper Class for Deep Learning Inference Frameworks: TensorFlow Lite, TensorRT, OpenCV, OpenVINO, ncnn, MNN, SNPE, Arm NN, NNabla, ONNX Runtime, LibTorch, TensorFlow

A general-purpose encoder-decoder framework for Tensorflow

Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.

💫 Industrial-strength Natural Language Processing (NLP) in Python

Neural networks training pipeline based on PyTorch

Summary of machine learning papers

PyTorch1.x tutorials, examples and some books I found 【不定期更新】整理的PyTorch 1.x 最新版教程、例子和书籍

An image classification app boilerplate to serve your deep learning models asap!

Tree LSTM implementation in PyTorch

The code of Switchable Normalization for object detection based on Detectron.pytorch.

Simple PyTorch Tutorials Zero to ALL!

Semantic Image-to-Image Translation for Domain Adaptation

A curated list of NLP resources focused on BERT, attention mechanism, Transformer networks, and transfer learning.

SalGAN: Visual Saliency Prediction with Generative Adversarial Networks

An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.

VDSR (CVPR2016) pytorch implementation

InceptionTime: Finding AlexNet for Time Series Classification

RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation

PyTorch Implementation for Deep Metric Learning Pipelines