favkiet's Stars
imedslab/LoG-VMamba
LoG-VMamba: Local-Global Vision Mamba for Medical Image Segmentation
cvdfoundation/open-images-dataset
Open Images is a dataset of ~9 million images that have been annotated with image-level labels and bounding boxes spanning thousands of classes.
dager23/SlowFast-Custom-Data
An advanced action recognition and Video Classifier
1amitos1/Shoplifting-Detection
SL -Shoplifting detection Provides real-time alerts for the SMB market retailers, to monitor and report customer behavior when shoplifting incidents occur. 3D Convolutional Neural Network in Keras and AWS Sagemaker for model training and evaluation.
hustvl/Vim
[ICML 2024] Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
state-spaces/mamba
Mamba SSM architecture
YubiaoYue/MedMamba
This is the official code repository for "MedMamba: Vision Mamba for Medical Image Classification"
hengck23/solution-leash-BELKA
yzhao062/pyod
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
Jaraxxus-Me/AirDet
Full conference version of AirDet: Few-Shot Detection without Fine-tuning for Autonomous Exploration
facebookresearch/large_concept_model
Large Concept Models: Language modeling in a sentence representation space
Lausannen/NAS-FCOS
NAS-FCOS: Fast Neural Architecture Search for Object Detection (CVPR 2020)
tianzhi0549/FCOS
FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)
amazon-science/fraud-dataset-benchmark
Repository for Fraud Dataset Benchmark
AIVIETNAMResearch/Video-Text-Retrieval
open-mmlab/mmtracking
OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.
khuyentran1401/Data-science
Collection of useful data science topics along with articles, videos, and code
microsoft/LLMLingua
[EMNLP'23, ACL'24] To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.
mingkaid/rl-prompt
Accompanying repo for the RLPrompt paper
longbuivan/datapods-oss
This is Open Source project for student/develop for self-hosting as a data platform engineer.
virattt/ai-hedge-fund
An AI Hedge Fund Team
marl-book/codebase
Official code repo for the MARL book (www.marl-book.com)
Genesis-Embodied-AI/Genesis
A generative world for general-purpose robotics & embodied AI learning.
huseinzol05/Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
NgocTram2711/AICITY2024_Track5
Albert-Z-Guo/Deep-Reinforcement-Stock-Trading
A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.
firmai/financial-machine-learning
A curated list of practical financial machine learning tools and applications.
borisbanushev/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
pditommaso/awesome-pipeline
A curated list of awesome pipeline toolkits inspired by Awesome Sysadmin
alxndrTL/mamba.py
A simple and efficient Mamba implementation in pure PyTorch and MLX.