Deep Learning

Frameworks for Neural Networks and Deep Learning.

Newest releases

ivy-dl Ivy vision focuses predominantly on 3D vision, with functions for camera geometry, image projections, co-ordinate frame transformations, forward warping, inverse warping, optical flow, depth triangulation, voxel grids, point cloud

spoonsso DANNCE (3-Dimensional Aligned Neural Network for Computational Ethology) is a convolutional neural network (CNN) that calculates the 3D positions of user-defined anatomical landmarks on behaving animals from videos taken at multip

google NitroML is a modular, portable, and scalable model-quality benchmarking framework for Machine Learning and Automated Machine Learning (AutoML) pipelines.

wvangansbeke This repo contains a curated list of self-supervised learning papers with a focus on representation learning and clustering.

VITA-Group Code used for TransGAN: Two Transformers Can Make One Strong GAN.

alex04072000 NeRViS: Neural Re-rendering for Full-frame Video Stabilization

sangyun884 Despite its importance, there are few previous works applying I2I translation to webtoon. I collected dataset from naver webtoon 연애혁명 and tried to transfer human faces to webtoon domain.

XanaduAI Official repo for QHack—the quantum machine learning hackathon

IgorSusmelj This is not an official style guide for PyTorch. This document summarizes best practices from more than a year of experience with deep learning using the PyTorch framework. Note that the learnings we share come mostly from a resea

zhuchen03 Learning to Initialize Neural Networks for Stable and Efficient Training

nmwsharp An invigorating blend of 3D geometry tools in Python.

trushkin-ilya Face anti-spoofing task solution using CASIA-SURF CeFA dataset, FeatherNets and Face Alignment in Full Pose Range.

chogovadze Deep Illuminator is a data augmentation tool designed for image relighting. It can be used to easily and efficiently generate a wide range of illumination variants of a single image.

Ededu1984 This application was developed to detect cars in Forza Horizon 4 gameplay video

lucidrains Implementation of Nyström Self-attention, from the paper Nyströmformer

allenai The Semantic Scholar Search Reranker

teapot123 Code and Data for our EMNLP-2020 paper Weakly-Supervised Aspect-Based Sentiment Analysis via Joint Aspect-Sentiment Topic Embedding.

ov2slam OV²SLAM is a Fully Online and Versatile Visual SLAM for Real-Time Applications

bsnes-emu bsnes is a multi-platform Super Nintendo (Super Famicom) emulator, originally developed by Near, which focuses on performance, features, and ease of use.

ebhy BudgetML – Deploy your ML model in 10 lines of code while saving 80%

ivy-dl The templated deep learning framework, enabling framework-agnostic functions, layers and libraries.

zkmkarlsruhe This is an openFrameworks addon for the TensorFlow 2 ML (Machine Learning) library.

HEmile Storchastic is a PyTorch library for stochastic gradient estimation in Deep Learning

audeering openSMILE (open-source Speech and Music Interpretation by Large-space Extraction) is a complete and open-source toolkit for audio analysis, processing and classification especially targeted at speech and music applications, e.g. a

karpathy VQVAEs, GumbelSoftmaxes and friends

ecsplendid Rembg Virtual Greenscreen Edition is a tool to create a green screen matte for videos

Hoff97 This is a JS/TS library for accelerated tensor computation intended to be run in the browser. It contains an implementation for numpy-style multidimensional arrays and their operators.

iwatake2222 Number recognition with MNIST on Raspberry Pi Pico + TensorFlow Lite for Microcontrollers

naurril 3D Point Cloud Annotation Platform for Autonomous Driving

Quick-AI Quickvision - An Easy To Use PyTorch Computer Vision Library

ybkscht We based our work on the Keras EfficientDet implementation xuannianz/EfficientDet which again builds up on the great Keras RetinaNet implementation fizyr/keras-retinanet, the official EfficientDet implementation google/automl and

AtmaHou A datasets and methods survey about task-oriented dialogue, including recent datasets and SOTA leaderboards.

nihalsid In this work, we are focusing on reconstructing scenes from a single image. We make the use of IF-Net which focuses on shape completion from an incomplete 3D input.