Pinned Repositories
02456-deep-learning-with-PyTorch
Exercises and supplementary material for the deep learning course 02456 using PyTorch.
Action-Recognition_Expts
Exploration of different solutions to action recognition in video, using neural networks implemented in PyTorch.
Age-is-just-a-number
Code to generate Preliminary Results
annotated_deep_learning_paper_implementations
🧑🏫 50! 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, ... 🧠
annotated_research_papers
This repo contains annotated research papers that I found really good and useful
Applied-Deep-Learning
Applied Deep Learning Course
AutoCNN
This project is the implementation of the "Automatically Designing CNN Architectures Using Genetic Algorithm for Image Classification" paper
awesome-deep-learning-papers
The most cited deep learning papers
awesome-deep-vision
A curated list of deep learning resources for computer vision
Awesome-Masked-Autoencoders
A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).
dlab-arp's Repositories
dlab-arp/annotated_deep_learning_paper_implementations
🧑🏫 50! 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, ... 🧠
dlab-arp/annotated_research_papers
This repo contains annotated research papers that I found really good and useful
dlab-arp/Applied-Deep-Learning
Applied Deep Learning Course
dlab-arp/AutoCNN
This project is the implementation of the "Automatically Designing CNN Architectures Using Genetic Algorithm for Image Classification" paper
dlab-arp/Awesome-Masked-Autoencoders
A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).
dlab-arp/awesome-NeRF
A curated list of awesome neural radiance fields papers
dlab-arp/awesome-neuroscience
A curated list of awesome neuroscience libraries, software and any content related to the domain.
dlab-arp/Awesome-Transformer-Attention
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
dlab-arp/best_AI_papers_2022
A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.
dlab-arp/BrainSimII
Neural Simulator for AGI research and development
dlab-arp/CITRIS
Code repository of the paper "CITRIS: Causal Identifiability from Temporal Intervened Sequences" and "iCITRIS: Causal Representation Learning for Instantaneous Temporal Effects"
dlab-arp/course-v3
The 3rd edition of course.fast.ai
dlab-arp/Data-Science-Books
Complete end to end Datascience Books for various Application
dlab-arp/detr
End-to-End Object Detection with Transformers
dlab-arp/github-slideshow
A robot powered training repository :robot:
dlab-arp/gopher
Toolset for training quantitative sequence to function models.
dlab-arp/Hyperopt-Keras-CNN-CIFAR-100
Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task. Monitoring with TensorBoard. Other visualizations available.
dlab-arp/image-segmentation-keras
Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.
dlab-arp/iyerB.github.io
Website for @lovebc http://bradlove.org
dlab-arp/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
dlab-arp/Machine-Learning-Collection
A resource for learning about Machine learning & Deep Learning
dlab-arp/maxATAC
Transcription Factor Binding Prediction from ATAC-seq and scATAC-seq with Deep Neural Networks
dlab-arp/medical-imaging-datasets
A list of Medical imaging datasets.
dlab-arp/mmaction
An open-source toolbox for action understanding based on PyTorch
dlab-arp/mmaction2
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
dlab-arp/mobile-gaitlab
dlab-arp/SimpleITK-Notebooks
Jupyter notebooks for learning how to use SimpleITK
dlab-arp/SlowFast
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
dlab-arp/UvA_Summaries
Summaries of courses in the AI Master programme at UvA
dlab-arp/uvadlc_notebooks
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2022/Spring 2022