Bandi120424's Stars
georgezouq/awesome-ai-in-finance
π¬ A curated list of awesome LLMs & deep learning strategies & tools in financial market.
wilsonfreitas/awesome-quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
mourarthur/awesome-credit-modeling
A collection of awesome papers, articles and various resources on credit and credit risk modeling
Trusted-AI/AIX360
Interpretability and explainability of data and machine learning models
z-x-yang/Segment-and-Track-Anything
An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.
jojoldu/junior-recruit-scheduler
μ£Όλμ΄ κ°λ°μ μ±μ© μ 보
sdras/awesome-actions
A curated list of awesome actions to use on GitHub
bentoml/BentoML
The easiest way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Multi-model Inference Graph/Pipelines, LLM/RAG apps, and more!
minerva-ml/open-solution-home-credit
Open solution to the Home Credit Default Risk challenge :house_with_garden:
avannaldas/Loan-Defaulter-Prediction-Machine-Learning
Prediction of loan defaulter based on more than 5L records using Python, Numpy, Pandas and XGBoost
awslabs/sagemaker-explaining-credit-decisions
Amazon SageMaker Solution for explaining credit decisions.
open-mmlab/mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
HyeminNoh/Tech-Stack
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hpcaitech/ColossalAI
Making large AI models cheaper, faster and more accessible
JaeYeopHan/Interview_Question_for_Beginner
:boy: :girl: Technical-Interview guidelines written for those who started studying programming. I wish you all the best. :space_invader:
boostcampaitech5/level2_cv_datacentric-cv-04
level2_cv_datacentric-cv-04 created by GitHub Classroom
b7leung/MLE-Flashcards
200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science.
alirezadir/Machine-Learning-Interviews
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
BoltzmannEntropy/interviews.ai
It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.
boost-devs/ai-tech-interview
π©βπ»π¨βπ» AI μμ§λμ΄ κΈ°μ λ©΄μ μ€ν°λ (βοΈ 1k+)
zzsza/Datascience-Interview-Questions
Datascience-Interview-Questions for Korean
microsoft/DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
ultralytics/ultralytics
NEW - YOLOv8 π in PyTorch > ONNX > OpenVINO > CoreML > TFLite
Bobo-y/flexible-yolov5
More readable and flexible yolov5 with more backbone(gcn, resnet, shufflenet, moblienet, efficientnet, hrnet, swin-transformer, etc) and (cbamοΌdcn and so on), and tensorrt
facebookresearch/detr
End-to-End Object Detection with Transformers
NKLCWDT/cs
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facebookresearch/detectron2
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
open-mmlab/mmdetection
OpenMMLab Detection Toolbox and Benchmark
jphall663/awesome-machine-learning-interpretability
A curated list of awesome responsible machine learning resources.
wangyongjie-ntu/Awesome-explainable-AI
A collection of research materials on explainable AI/ML