Popular GitHub Repositories for Study

Roadmap to becoming an Artificial Intelligence Expert in 2022

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

Solutions of Reinforcement Learning, An Introduction

?‍??‍? AI 엔지니어 기술 면접 스터디 (⭐️ 2k+)

? A study guide to learn about Transformers

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

Obsei is a low code AI powered automation tool. It can be used in various business flows like social listening, AI based alerting, brand image analysis, comparative study and more .

? A study guide to learn about Graph Neural Networks (GNNs)

An official implementation for "CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval"

Toolkit for fine-tuning, ablating and unit-testing open-source LLMs.

Python sample codes and documents about Autonomous vehicle control algorithm. This project can be used as a technical guide book to study the algorithms and the software architectures for beginners.

This is the source code of the feasibility study for Autoware architecture proposal.

Papers, code and datasets about deep learning for 3D Object Detection.

Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)

Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.

A comprehensive list [SAMRS@NeurIPS'23, RVSA@TGRS'22, RSP@TGRS'22] of our research works related to remote sensing, including papers, codes, and citations. Note: The repo for [TGRS'22] "An Empirical Study of Remote Sensing Pretraining" has been moved to: https://github.com/ViTAE-Transformer/RSP

Awesome Projects in Python - Machine Learning Applications, Games, Desktop Applications all in Python :snake:

[ICLR 2023] Come & try Decision-Intelligence version of "Agar"! Gobigger could also help you with multi-agent decision intelligence study.

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

Resources for the study group in IIT Guwahati focused on learning Artificial Intelligence.