Pinned Repositories
3D-Generative-SBDD
💊 A 3D Generative Model for Structure-Based Drug Design (NeurIPS 2021)
500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
ads1-notebooks
Copies of notebooks used in the practical sessions for Algorithms for DNA Sequencing
Andrew-NG-Notes
This is Andrew NG Coursera Handwritten Notes.
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
coding-interview-university
A complete computer science study plan to become a software engineer.
CS6208_2023
Advanced Topics in Artificial Intelligence, NUS CS6208, 2023
deeplearning-models
A collection of various deep learning architectures, models, and tips
dl-colab-notebooks
Try out deep learning models online on Google Colab
ramanarayan86's Repositories
ramanarayan86/CS6208_2023
Advanced Topics in Artificial Intelligence, NUS CS6208, 2023
ramanarayan86/3D-Generative-SBDD
💊 A 3D Generative Model for Structure-Based Drug Design (NeurIPS 2021)
ramanarayan86/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, ... 🧠
ramanarayan86/Applied-Deep-Learning
Applied Deep Learning
ramanarayan86/Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
ramanarayan86/awesome-graph-transformer
Papers about graph transformers.
ramanarayan86/cornell-cs5785-2020-applied-ml
Teaching materials for the applied machine learning course at Cornell Tech (online edition)
ramanarayan86/CPU_Optimized_MatrixMultiplication
ramanarayan86/dgl-lifesci
Python package for graph neural networks in chemistry and biology
ramanarayan86/gflownet
Generative Flow Networks
ramanarayan86/graph-fraud-detection-papers
A curated list of fraud detection papers using graph information or graph neural networks
ramanarayan86/GraphGPS
Recipe for a General, Powerful, Scalable Graph Transformer
ramanarayan86/GraphGym
Platform for designing and evaluating Graph Neural Networks (GNN)
ramanarayan86/GraphSSL
ramanarayan86/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.
ramanarayan86/Leetcode
Solutions to LeetCode problems; updated daily. Subscribe to my YouTube channel for more.
ramanarayan86/ML-Course-Notes
🎓 Sharing course notes on all topics related to machine learning, NLP, and AI.
ramanarayan86/ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
ramanarayan86/ML-Papers-Explained
Explanation to key concepts in ML
ramanarayan86/ML-YouTube-Courses
📺 A place to discover the latest machine learning courses on YouTube.
ramanarayan86/numpy-ml
Machine learning, in numpy
ramanarayan86/ocp
https://opencatalystproject.org/
ramanarayan86/papers_for_protein_design_using_DL
List of papers about Proteins Design using Deep Learning
ramanarayan86/PnC
Official repository for the paper "Partition and Code: learning how to compress graphs" (NeurIPS'21) https://arxiv.org/abs/2107.01952
ramanarayan86/python-machine-learning-book-3rd-edition
The "Python Machine Learning (3rd edition)" book code repository
ramanarayan86/pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
ramanarayan86/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.
ramanarayan86/Transformers-Recipe
🧠 A quick recipe to learn all about Transformers
ramanarayan86/Treasure-of-Transformers
💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. 🛫☑️
ramanarayan86/Unified-LTH-GNN
[ICML 2021] "A Unified Lottery Tickets Hypothesis for Graph Neural Networks", Tianlong Chen*, Yongduo Sui*, Xuxi Chen, Aston Zhang, Zhangyang Wang