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3d-resnets-pytorch

3D ResNets for Action Recognition (CVPR 2018)

advances-in-label-noise-learning

A curated (most recent) list of resources for Learning with Noisy Labels

autogbt

AutoGBT is used for AutoML in a lifelong machine learning setting to classify large volume high cardinality data streams under concept-drift. AutoGBT was developed by a joint team ('autodidact.ai') from Flytxt, Indian Institute of Technology Delhi and CSIR-CEERI as a part of NIPS 2018 AutoML for Lifelong Machine Learning Challenge.

awesome-machine-learning-interpretability

A curated list of awesome machine learning interpretability resources.

awesome-research

:seedling: a curated list of tools to help you with your research/life; I built a front end around this repo, please use the link below [This repo is Not Maintained Anymore]

awesome-temporal-action-localization

A curated list of temporal action localization/detection and related area (e.g. temporal action proposal) resources.

cascadexml

Code for our paper CascadeXML: Rethinking Transformers for End-to-end Multi-resolution Training in Extreme Multi-label Classification

coot-videotext

COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning

deep_sort_yolov3

Real-time Multi-person tracker using YOLO v3 and deep_sort with tensorflow

denseretrieval

everything-you-didnt-now-you-needed

Tips & Tricks for python, the command line, and more.

gpu-computing

CUDA Kernel Scripts.

insightface

State-of-the-art 2D and 3D Face Analysis Project

k-means-constrained

K-Means clustering - constrained with minimum and maximum cluster size

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mingpt

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

mmaction2

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

nasib-ullah.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

nasib104

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

pytorch-grad-cam

Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Examples for classification, object detection, segmentation, embedding networks and more. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM

pytorch-i3d

pytorch-video-feature-extractor

A repository for extract CNN features from videos using pytorch

renee

Renee: End-to-end training of extreme classification models

rl-projects

This repository contains codes related to different Reinforcement Learning algorithms and applications.

sa-lstm

A Pytorch implementation of "describing videos by exploiting temporal structure", ICCV 2015

show_attend_and_tell_pytorch

This repository contains Pytorch implementation of the image captioning model published in the paper Show attend and tell (Xu et al, 2015)

thvc

A PyTorch implementation of the paper Thinking Hallucination for Video Captioning.

video-captioning-models-in-pytorch

A PyTorch implementation of state of the art video captioning models from 2015-2019 on MSVD and MSRVTT datasets.

video-classification-3d-cnn-pytorch

Video classification tools using 3D ResNet