moons98

ControlNet

Let us control diffusion models!

climbnet

Climbnet - Detect and segment indoor climbing holds

yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

level3_nlp_finalproject-nlp-08

사용자가 채팅웹을 통해 자신이 처한 법률적 상황을 제시하면, 입력에 대한 문맥을 모델이 이해하여 가이드라인을 제시하고, 유사한 상황의 판례를 제공하는 웹 서비스입니다. (2023.08.18 서비스 종료)

generative-ai-for-beginners

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

MoTIS

[NAACL 2022]Mobile Text-to-Image search powered by multimodal semantic representation models(e.g., OpenAI's CLIP)

AutoGPT

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

ai-tech-interview

👩‍💻👨‍💻 AI 엔지니어 기술 면접 스터디 (⭐️ 1k+)

MLQuestions

Machine Learning and Computer Vision Engineer - Technical Interview Questions

level3_cv_productserving-cv-19

level3_cv_productserving-cv-19 created by GitHub Classroom

machine-learning

Machine Learning Notebooks by Anderson

developer-roadmap

Interactive roadmaps, guides and other educational content to help developers grow in their careers.

awesome-RecSys

A curated list of awesome Recommender System (Books, Conferences, Researchers, Papers, Github Repositories, Useful Sites, Youtube Videos)

Awesome-CV

:page_facing_up: Awesome CV is LaTeX template for your outstanding job application

Events

부스트캠프 AI Tech 수료생 커뮤니티 event wiki

Torch-Pruning

[CVPR 2023] Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs

peer-session

🚀 부스트캠프 AI Tech 1기 U-Stage 4조 피어 세션 자료/질문 모음 (archived)

CLIP-imagenet-evaluation

Run CLIP inference on the ImageNet dataset and use these inferences as labels to train other models and again evaluate the trained model on Imagenet validation dataset using original labels or CLIP labels

conceptual-captions

Conceptual Captions is a dataset containing (image-URL, caption) pairs designed for the training and evaluation of machine learned image captioning systems.

audiocraft

Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.

Awesome-LLMOps

An awesome & curated list of best LLMOps tools for developers

pytorch-playground

Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

awesome-tensorflow-lite

An awesome list of TensorFlow Lite models, samples, tutorials, tools and learning resources.

TensorRT

PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT

vlite

fast vector database made in numpy

Image-Captioning-MS-COCO-dataset

clip-retrieval

Easily compute clip embeddings and build a clip retrieval system with them

level3_cv_finalproject-cv-19

level3_cv_finalproject-cv-19 created by GitHub Classroom

train_ml_clip