Pinned Repositories
A3DCF
Matlab implementation of IEEE TMM 2021 paper "Robust Visual Object Tracking via Adaptive Attribute-Aware Discriminative Correlation Filters"
Age-and-Sex-Prediction-from-Image---Convolutional-Neural-Network-with-Artificial-Intelligence
Age and Sex Prediction from Image - Convolutional Neural Network with Artificial Intelligence
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
awesome-pretrained-stylegan2
A collection of pre-trained StyleGAN 2 models to download
awesome-program
A curated list of papers related to program synthesis, program induction, program execution, program and code repair, and programmatic reinforcement learning.
Awesome-Visual-Transformer
Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)
Azure-Power-BI-Study-Guide
Microsoft Azure & Power BI Study Guide
ByteTrack
ByteTrack: Multi-Object Tracking by Associating Every Detection Box
cmu-10717-the-art-of-the-paper
Official repository for CMU Machine Learning Department's 10717: "The Art of the Paper".
Data-Analysis-and-Machine-Learning-with-Kaggle
Code Repository for Data Analysis and Machine Learning with Kaggle, Published by Packt
MSathishkumar1990's Repositories
MSathishkumar1990/ABAW
MSathishkumar1990/ai-by-hand-excel
MSathishkumar1990/ai-engineering-hub
MSathishkumar1990/AVCER
Zero-Shot Audio-Visual Compound Expression Recognition Method based on Emotion Probability Fusion
MSathishkumar1990/awesome-kan
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold Network field.
MSathishkumar1990/awesome-llm-apps
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
MSathishkumar1990/awesome-parking-slot-detection
papers and codes about parking slot detection
MSathishkumar1990/CMAF
CMAF: A Cross-Modal Augmentation via Fusion Network for Underwater Acoustic Image Recognition
MSathishkumar1990/code-mdvae
A multimodal dynamical variational autoencoder for audiovisual speech representation learning
MSathishkumar1990/collections
https://www.daiwk.net/
MSathishkumar1990/CV_projects
General Computer Vision Projects
MSathishkumar1990/Data-Science-Interview-Preperation-Resources
Resoruce to help you to prepare for your comming data science interviews
MSathishkumar1990/Deep-Learning
This repository is a related to all about Deep Learning - an A-Z guide to the world of Data Science. This supplement contains the implementation of algorithms, statistical methods and techniques (in Python)
MSathishkumar1990/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
MSathishkumar1990/facenet-pytorch
Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models
MSathishkumar1990/FV2ES
A Fully End2End Multimodal System for Fast Yet Effective Video Emotion Recognition
MSathishkumar1990/HTNet
MSathishkumar1990/Hybrid-Multi-Attention-Network-for-Audio-Visual-Emotion-Recognition-using-Feature-Fusion
MSathishkumar1990/Joint-Multimodal-Transformer-6th-ABAW
MSathishkumar1990/MAVEN_8th_ABAW
MAVEN: Multi-modal Attention for Valence-Arousal Emotion Network
MSathishkumar1990/Megatron-LM
Ongoing research training transformer models at scale
MSathishkumar1990/MGLRA
MSathishkumar1990/Mi-CGA
MSathishkumar1990/MMA-DFER
This repository provides the codes for MMA-DFER: multimodal (audiovisual) emotion recognition method. This is an official implementation for the paper MMA-DFER: MultiModal Adaptation of unimodal models for Dynamic Facial Expression Recognition in-the-wild.
MSathishkumar1990/OBBDetection
OBBDetection is an oriented object detection library, which is based on MMdetection.
MSathishkumar1990/openvino_notebooks
📚 Jupyter notebook tutorials for OpenVINO™
MSathishkumar1990/Paozival
MSathishkumar1990/PGCN
PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition
MSathishkumar1990/scikit-llm
Seamlessly integrate LLMs into scikit-learn.
MSathishkumar1990/SDT