Ramanarayan Mohanty's repositories
CS6208_2023
Advanced Topics in Artificial Intelligence, NUS CS6208, 2023
3D-Generative-SBDD
💊 A 3D Generative Model for Structure-Based Drug Design (NeurIPS 2021)
annotated_deep_learning_paper_implementations
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Applied-Deep-Learning
Applied Deep Learning
Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
awesome-graph-transformer
Papers about graph transformers.
cornell-cs5785-2020-applied-ml
Teaching materials for the applied machine learning course at Cornell Tech (online edition)
dgl-lifesci
Python package for graph neural networks in chemistry and biology
gflownet
Generative Flow Networks
graph-fraud-detection-papers
A curated list of fraud detection papers using graph information or graph neural networks
graph-mixture-density-networks
Official Repository of "Graph Mixture Density Networks" (ICML 2021)
GraphGPS
Recipe for a General, Powerful, Scalable Graph Transformer
GraphGym
Platform for designing and evaluating Graph Neural Networks (GNN)
InvokeAI
This version of Stable Diffusion features a slick WebGUI, an interactive command-line script that combines text2img and img2img functionality in a "dream bot" style interface, and multiple features and other enhancements. For more info, see the website link below.
Leetcode
Solutions to LeetCode problems; updated daily. Subscribe to my YouTube channel for more.
ML-Course-Notes
🎓 Sharing course notes on all topics related to machine learning, NLP, and AI.
ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
ML-Papers-Explained
Explanation to key concepts in ML
ML-YouTube-Courses
📺 A place to discover the latest machine learning courses on YouTube.
numpy-ml
Machine learning, in numpy
ocp
https://opencatalystproject.org/
papers_for_protein_design_using_DL
List of papers about Proteins Design using Deep Learning
PnC
Official repository for the paper "Partition and Code: learning how to compress graphs" (NeurIPS'21) https://arxiv.org/abs/2107.01952
python-machine-learning-book-3rd-edition
The "Python Machine Learning (3rd edition)" book code repository
pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
Transformers-Recipe
🧠 A quick recipe to learn all about Transformers
Unified-LTH-GNN
[ICML 2021] "A Unified Lottery Tickets Hypothesis for Graph Neural Networks", Tianlong Chen*, Yongduo Sui*, Xuxi Chen, Aston Zhang, Zhangyang Wang