ilkarman

ilkarman's Stars

• huggingface/pytorch-image-models

  The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  Language:Python32.4k3139314.8k

• Lightning-AI/pytorch-lightning

  Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

  Language:Python28.5k2507.1k3.4k

• leandromoreira/digital_video_introduction

  A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸

  Language:Jupyter Notebook15.5k435551.3k

• kornia/kornia

  Geometric Computer Vision Library for Spatial AI

  Language:Python10k127939974

• raulmur/ORB_SLAM2

  Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

  Language:C++9.5k3729674.7k

• facebookresearch/pytorch3d

  PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

  Language:Python8.8k1491.6k1.3k

• iamtrask/Grokking-Deep-Learning

  this repository accompanies the book "Grokking Deep Learning"

  Language:Jupyter Notebook7.5k320511.6k

• dbolya/yolact

  A simple, fully convolutional model for real-time instance segmentation.

  Language:Python5k1057921.3k

• google-research/simclr

  SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

  Language:Jupyter Notebook4.1k47197626

• jettify/pytorch-optimizer

  torch-optimizer -- collection of optimizers for Pytorch

  Language:Python3k3364300

• tomgoldstein/loss-landscape

  Code for visualizing the loss landscape of neural nets

  Language:Python2.8k3341399

• google-research/recsim

  A Configurable Recommender Systems Simulation Platform

  Language:Python7473730129

• the-deep-learners/deep-learning-illustrated

  Deep Learning Illustrated (2020)

  Language:Jupyter Notebook711437355

• ahmetgunduz/Real-time-GesRec

  Real-time Hand Gesture Recognition with PyTorch on EgoGesture, NvGesture, Jester, Kinetics and UCF101

  Language:Python63715101167

• facebookresearch/WSL-Images

  Weakly Supervised Learning On Images

  Language:Python599172163

• yassouali/ML-paper-notes

  :notebook: Notes and summaries of various ML, Computer Vision & NLP papers.

  56140180

• Angzz/awesome-panoptic-segmentation

  Panoptic Segmentation Resources List

  55239499

• stefanknegt/Probabilistic-Unet-Pytorch

  A Probabilistic U-Net for segmentation of ambiguous images implemented in PyTorch

  Language:Python273102867

• fandulu/DD-Net

  A lightweight network for body/hand action recognition

  Language:Jupyter Notebook265123253

• moabitcoin/ig65m-pytorch

  PyTorch 3D video classification models pre-trained on 65 million Instagram videos

  Language:Python265152730

• Showmax/kinetics-downloader

  Download DeepMind's Kinetics dataset.

  Language:Python262111587

• stereolabs/zed-python-api

  Python API for the ZED SDK

  Language:Cython2131522294

• cybertronai/autograd-hacks

  Language:Python15371332

• swathikirans/GSM

  Gate-Shift Networks for Video Action Recognition - CVPR 2020

  Language:Python14983017

• hassony2/inflated_convnets_pytorch

  Inflate DenseNet and ResNet as per I3D with ImageNet weight transfer

  Language:Python1483522

• kenshohara/3D-ResNets

  3D ResNets for Action Recognition

  Language:Lua1146220

• piergiaj/tgm-icml19

  Code for our ICML 2019 paper "Temporal Gaussian Mixture Layer for Videos"

  Language:Python1015014

• ynahshan/nn-quantization-pytorch

  Language:Jupyter Notebook556414

• ananyahjha93/disentangling-factors-of-variation-using-adversarial-training

  This repository contains a pytorch implementation for the paper: Disentangling factors of variation in deep representations using adversarial training (https://arxiv.org/abs/1611.03383), which was accepted at NIPS 2016.

  Language:Python32305

• msalvaris/Neurips2019

  Tool for searching NeurIPS2019 proceedings

  Language:Jupyter Notebook3300