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Nvidia DLI workshop on AI-based anomaly detection techniques using GPU-accelerated XGBoost, deep learning-based autoencoders, and generative adversarial networks (GANs) and then implement and compa…
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
Notebooks for the Practicals at the Deep Learning Indaba 2024.
📚 Curated collection of engineering blogs detailing real-world applications of LLMs in solving specific business problems.
Code examples for lecture series
Advanced Topics in Artificial Intelligence, NUS CS6208, 2023
Foster the development of impactful AI models in drug discovery.
A curated list of resources for machine learning for small-molecule drug discovery
learning biology syllabus, geared for machine learning folks
🤖⚡ 50 scikit-learn tips
Implementation of Alphafold 3 in Pytorch
Language model alignment-focused deep learning curriculum
This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.
Implementation of Alpha Fold 3 from the paper: "Accurate structure prediction of biomolecular interactions with AlphaFold3" in PyTorch
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
CoreNet: A library for training deep neural networks
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
A foundational package for molecular predictive modelling
A Native-PyTorch Library for LLM Fine-tuning
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges.
Practical Cheminformatics Tutorials
List of Geometric GNNs for 3D atomic systems
