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aaai23_cat

ai-tech-interview

👩‍💻👨‍💻 AI 엔지니어 기술 면접 스터디 (⭐️ 1k+)

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

avatarclip

[SIGGRAPH 2022 Journal Track] AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatars

awesome-multimodal-large-language-models

:sparkles::sparkles:Latest Papers and Datasets on Multimodal Large Language Models, and Their Evaluation.

awesome-temporal-action-detection-temporal-action-proposal-generation

Temporal Action Detection & Weakly Supervised Temporal Action Detection & Temporal Action Proposal Generation

bassl

clrs

:notebook:Solutions to Introduction to Algorithms

coclr

[NeurIPS'20] Self-supervised Co-Training for Video Representation Learning. Tengda Han, Weidi Xie, Andrew Zisserman.

cola

[CVPR2021] CoLA: Weakly-Supervised Temporal Action Localization with Snippet Contrastive Learning

decord

An efficient video loader for deep learning with smart shuffling that's super easy to digest

deep-learning-with-pytorch

pytorch study

detr

End-to-End Object Detection with Transformers

development-environment

개발환경을 구축해보자

eccv2022-delu

[ECCV 2022] Dual-Evidential Learning for Weakly-supervised Temporal Action Localization

fame

Code for Motion-aware Contrastive Video Representation Learning via Foreground-background Merging (CVPR 2022)

hico

CVPR2022:Learning from Untrimmed Videos: Self-Supervised Video Representation Learning with Hierarchical Consistency

introduction_to_alogorithm_3rd

Introduction_to_Algorithm_3rd(CLRS , MIT Press)

limgeuntaekk

misc-cheatsheet

대학원 생활을 하며 사용하는 작고 소중한 코딩팁 (linux 명령어 등)

ml-youtube-courses

📺 Discover the latest machine learning / AI courses on YouTube.

mmaction2

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

pcme

pymldg-rev

Machine-Learning(Python)

scene-graph-benchmark.pytorch

A new codebase for popular Scene Graph Generation methods (2020). Visualization & Scene Graph Extraction on custom images/datasets are provided. It's also a PyTorch implementation of paper “Unbiased Scene Graph Generation from Biased Training CVPR 2020”

sceneseg

Codebase for CVPR2020 A Local-to-Global Approach to Multi-modal Movie Scene Segmentation

scenesegmentation-scrl

Code for CVPR 2022 paper "Scene Consistency Representation Learning for Video Scene Segmentation"

self-contained-video-entity-discovery

This is the official implementation and benchmark of the "Self-Contained Entity Discovery in Captioned Videos" paper.paper

shg-vqa

Learning Situation Hyper-Graphs for Video Question Answering

sogclr

Official implementation of the paper "Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance", ICML2022.