Deep Learning

Frameworks for Neural Networks and Deep Learning.

Newest releases

anothersin Image Enhancement Zoo for collecting deraining, dehazing and brightening methods, datasets, and codes.

subinium Deep Learning Paper Simple Review + Helpful Article###{}

leaderj1001 Bottleneck Transformers for Visual Recognition

phamquiluan Facial Expression Recognition using Residual Masking Network

mahmoodlab Data Efficient & Weakly Supervised Computational Pathology on Whole Slide Images

intel Federated learning is a distributed machine learning approach that enables organizations to collaborate on machine learning projects without sharing sensitive data, such as, patient records, financial data, or classified secrets

BMW-InnovationLab This repository allows you to get started with training a State-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset and you can start the training right away. You can even test y

facebookresearch Official PyTorch implementation of "DeepHandMesh: A Weakly-Supervised Deep Encoder-Decoder Framework for High-Fidelity Hand Mesh Modeling," ECCV 2020

nv-tlabs Learning to Simulate Dynamic Environments with GameGAN (CVPR 2020)

bellymonster This is the offical PyTorch implementation of paper Rethinking soft labels for knowledge distillation: a bias-variance tradeoff perspective.

CapsuleEndoscope EndoSLAM Dataset and an Unsupervised Monocular Visual Odometry and Depth Estimation Approach for Endoscopic Videos: Endo-SfMLearner

ZhuFengdaaa code of the paper "Vision-Language Navigation with Multi-granularity Observation and Auxiliary Reasoning Tasks"

google This is the code for Deformable Neural Radiance Fields, a.k.a. Nerfies.

brade31919 Source code of the IROS 2020 paper "Depth Estimation from Monocular Images and Sparse Radar Data"

ivanpanshin Implementation of Supervised Contrastive Learning with AMP, EMA, SWA, and many other tricks

twistedcubic Neural LSH [ICLR 2020] - Using supervised learning to produce better space partitions for fast nearest neighbor search.

YueWuHKUST Official implementation of Paper "Future Video Synthesis With Object Motion Prediction"(CVPR 2020)

google-research World Models is a platform-agnostic library to facilitate visual based agents for planning. This notebook (run it in colab) shows how to use World Models library and its different components.

jackwish This tflite package parses TensorFlow Lite (TFLite) models (*.tflite), which are built by TFLite converter. For background, please refer to Introducing TFLite Parser Python Package.

fastai timm is a deep-learning library created by Ross Wightman and is a collection of SOTA computer vision models, layers, utilities, optimizers, schedulers, data-loaders, augmentations and also training/validating scripts with ability

itayhubara Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming

berenslab Companion repository to Lause, Berens & Kobak (2020): "Analytic Pearson residuals for normalization of single-cell RNA-seq UMI data", bioRxiv

alessiabertugli PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"

EvgenyKashin Implementation of Spectral Leakage and Rethinking the Kernel Size in CNNs in Pytorch

lucidrains Simple implementation of Feedback Transformer in Pytorch.

filipsPL tl;dr / abstract. System which can be used for localization the position of a cat in a building using bluetooth low energy (BLE) beacons attached to the object, a set of cheap ESP32 detectors, and Machine Learning models.

galatolofederico Repository for the paper Generating images from caption and vice versa via CLIP-Guided Generative Latent Space Search

XanaduAI Contains material for the PennyLane tutorial at CERN on 3/4 February 2021.

terryyz PyArmadillo is a linear algebra library for the Python language, with an emphasis on ease of use.

NVlabs StyleGAN2-ADA — Official PyTorch implementation

cfzd PyTorch implementation of the paper "FcaNet: Frequency Channel Attention Networks".

willi-menapace This paper introduces the unsupervised learning problem of playable video generation (PVG). In PVG, we aim at allowing a user to control the generated video by selecting a discrete action at every time step as when playing a video

tfzhou Exploring Cross-Image Pixel Contrast for Semantic Segmentation