xbresson / CS5242_2021
Neural Networks and Deep Learning, NUS CS5242, 2021
β188Updated 3 years ago
Alternatives and similar repositories for CS5242_2021:
Users that are interested in CS5242_2021 are comparing it to the libraries listed below
- Computer Vision and Pattern Recognition, NUS CS4243, 2022β166Updated 2 years ago
- Advanced Topics in Artificial Intelligence, NUS CS6208, 2023β321Updated last year
- π Stanford CS 228 - Probabilistic Graphical Modelsβ122Updated 6 years ago
- An assignment for CMU CS11-711 Advanced NLP, building NLP systems from scratchβ171Updated 2 years ago
- My approach to CS224w [AT] Stanford 2019 : )β125Updated 4 years ago
- CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learningβ175Updated 3 years ago
- Interview Questions and Answers for Machine Learning Engineer roleβ118Updated 2 years ago
- Host repository for the "Reproducible Deep Learning" PhD courseβ407Updated 2 years ago
- Framework code with wandb, checkpointing, logging, configs, experimental protocols. Useful for fine-tuning models or training from scratcβ¦β148Updated 2 years ago
- Graph Data Augmentation Library for PyTorch Geometricβ129Updated 2 years ago
- β58Updated 3 years ago
- A collection of papers studying/improving the expressiveness of graph neural networks (GNNs)β126Updated last year
- Repository for GNN tutorial using Pytorch and Pytorch Geometric (PyG) for ODSC 2021β41Updated 3 years ago
- π¦ Stanford CS236 : Deep Generative Modelsβ124Updated 6 years ago
- Bayesian Methods for Machine Learningβ64Updated 5 years ago
- β89Updated 2 years ago
- Notebooks for "Probabilistic Machine Learning" bookβ202Updated 2 years ago
- Course for Interpreting ML Modelsβ52Updated 2 years ago
- here you can find the material used for our Tutorialsβ100Updated 3 years ago
- Example of a Cover letter for AI Residencyβ80Updated 5 years ago
- MPhil Machine Learning and Machine Intelligence @ University of Cambridgeβ48Updated 5 years ago
- [NAACL 2021] This is the code for our paper `Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Selfβ¦β201Updated 2 years ago
- A curated list of programmatic weak supervision papers and resourcesβ188Updated last year
- β54Updated 2 years ago
- Python library assists deep learning on graphsβ555Updated last year
- PyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.β258Updated 4 years ago
- PyTorch code corresponding to my blog series on adversarial examples and (confidence-calibrated) adversarial training.β68Updated last year
- Get started with Recommendation Systemsβ46Updated 2 years ago
- Scalable Graph Neural Networks with Deep Graph Libraryβ151Updated 4 years ago
- Course webpage for COMP 790, (Deep) Learning from Limited Labeled Dataβ303Updated 4 years ago