dlab-arp's repositories
iyerB.github.io
Website for @lovebc http://bradlove.org
Data-Science-Books
Complete end to end Datascience Books for various Application
Awesome-Masked-Autoencoders
A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).
github-slideshow
A robot powered training repository :robot:
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.
Machine-Learning-Collection
A resource for learning about Machine learning & Deep Learning
Applied-Deep-Learning
Applied Deep Learning Course
detr
End-to-End Object Detection with Transformers
awesome-neuroscience
A curated list of awesome neuroscience libraries, software and any content related to the domain.
Awesome-Transformer-Attention
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
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.
uvadlc_notebooks
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2022/Spring 2022
mmaction2
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
annotated_research_papers
This repo contains annotated research papers that I found really good and useful
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.
SlowFast
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
CITRIS
Code repository of the paper "CITRIS: Causal Identifiability from Temporal Intervened Sequences" and "iCITRIS: Causal Representation Learning for Instantaneous Temporal Effects"
BrainSimII
Neural Simulator for AGI research and development
UvA_Summaries
Summaries of courses in the AI Master programme at UvA
maxATAC
Transcription Factor Binding Prediction from ATAC-seq and scATAC-seq with Deep Neural Networks
gopher
Toolset for training quantitative sequence to function models.
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, ... 🧠
SimpleITK-Notebooks
Jupyter notebooks for learning how to use SimpleITK
mmaction
An open-source toolbox for action understanding based on PyTorch
awesome-NeRF
A curated list of awesome neural radiance fields papers
image-segmentation-keras
Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.
AutoCNN
This project is the implementation of the "Automatically Designing CNN Architectures Using Genetic Algorithm for Image Classification" paper
course-v3
The 3rd edition of course.fast.ai
medical-imaging-datasets
A list of Medical imaging datasets.