Manish-GenAI
Co-Founder @FreeDoctr , Research Engineer Stealth #GraphML, #GeometricDL, #3DComputerVision, #DiffusionModels, #Generative AI #ML ,#RL, #LLM, #BioInformatic
New Delhi
Manish-GenAI's Stars
microsoft/generative-ai-for-beginners
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
rasbt/LLMs-from-scratch
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
roboflow/supervision
We write your reusable computer vision tools. 💜
eriklindernoren/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
joonspk-research/generative_agents
Generative Agents: Interactive Simulacra of Human Behavior
stefan-jansen/machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
aishwaryanr/awesome-generative-ai-guide
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
microsoft/promptbase
All things prompt engineering
naganandy/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
benedekrozemberczki/pytorch_geometric_temporal
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
geomstats/geomstats
Computations and statistics on manifolds with geometric structures.
KimMeen/Time-LLM
[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"
youssefHosni/Practical-Machine-Learning
Practical machine learning notebook & articles covers the machine learning end to end life cycle.
microsoft/tf-gnn-samples
TensorFlow implementations of Graph Neural Networks
PeterGriffinJin/Awesome-Language-Model-on-Graphs
A curated list of papers and resources based on "Large Language Models on Graphs: A Comprehensive Survey".
google-deepmind/clrs
yuzhimanhua/Awesome-Scientific-Language-Models
A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery
bingzhewei/geom-gcn
alelab-upenn/graph-neural-networks
Library to implement graph neural networks in PyTorch
jianhao2016/GPRGNN
mengliu1998/awesome-expressive-gnn
A collection of papers studying/improving the expressiveness of graph neural networks (GNNs)
mkofinas/neural-graphs
Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).
shantanu-ai/deep-learning-resources
Resources needed to start deep learning research. ML/DL/CV/NLP/ML-SYS/RL/Graphs/Maths/Med image lecture videos from professors at esteemed universities.
ADAPT-uiuc/tglite
Temporal GNN Lightweight Framework
nec-research/Adaptive-Message-Passing
Official Repository of Adaptive Message Passing
Amanda-Zheng/LEBED
Pytorch implementation for ICLR24:"Online GNN Evaluation Under Test-Time Graph Distribution Shifts"
benthecoder/chatpdf
chat with pdf with mistral.ai + streamlit
kvignesh1420/gnn_collapse
[NeurIPS 2023] Official implementation of "A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks"
Manish-GenAI/EEML-CODE
EEML Code Implementation for the paper "ADAPTIVE UNIVERSAL GENERALIZED PAGERANK GRAPH NEURAL NETWORK"