Deep Learning

Frameworks for Neural Networks and Deep Learning.

Newest releases

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.
 

lebrice The Research Tree - A playground for research at the intersection of Continual, Reinforcement, and Self-Supervised Learning.
 

neuralmagic Sparsify is a deep learning autoML tool that simplifies the model optimization process to rapidly achieve the best combination of size, speed, and accuracy on any deep learning model.
 

SethHWeidman Code for the book Deep Learning From Scratch, from O'Reilly September 2019
 

SimonBlanke A hyperparameter optimization and meta-learning toolbox for convenient and fast prototyping of machine-/deep-learning models.
 

neuralmagic CPU inference engine that delivers unprecedented performance for sparse models
 

wvangansbeke Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals.
 

DolbyLaboratories Upsampling Artifacts in Neural Audio Synthesis
 

vballoli NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch
 

lucidrains Implementation of TimeSformer, a pure and simple attention-based solution for reaching SOTA on video classification.
 

optas Learning to ground explanations of affect for visual art.
 

RITCHIEHuang DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)
 

daerduoCarey Where2Act: From Pixels to Actions for Articulated 3D Objects
 

EthicalML A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning