blmoistawinde / ml_equations_latexLinks
Classical ML equations in Latex, helps paper and blog writing
☆180Updated last year
Alternatives and similar repositories for ml_equations_latex
Users that are interested in ml_equations_latex are comparing it to the libraries listed below
Sorting:
- ☆99Updated 2 years ago
- https://slds-lmu.github.io/seminar_multimodal_dl/☆169Updated 2 years ago
- In this page, I will provide a list of survey papers on topics related to deep learning and its applications in various fields.☆122Updated last year
- 📦 PyTorch based visualization package for generating layer-wise explanations for CNNs.☆231Updated last year
- A simple recipe for training and inferencing Transformer architecture for Multi-Task Learning on custom datasets. You can find two approa…☆97Updated 3 years ago
- ☆66Updated last year
- 👽 Out-of-Distribution Detection with PyTorch☆301Updated 3 weeks ago
- ☆242Updated 3 years ago
- A curated list of programmatic weak supervision papers and resources☆190Updated 2 years ago
- Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥…☆468Updated this week
- 🛠️ Corrected Test Sets for ImageNet, MNIST, CIFAR, Caltech-256, QuickDraw, IMDB, Amazon Reviews, 20News, and AudioSet☆185Updated 2 years ago
- A tour of different optimization algorithms in PyTorch.☆99Updated 3 years ago
- Simple pytorch implementation of focal loss☆86Updated 2 years ago
- Enabling easy statistical significance testing for deep neural networks.☆336Updated last year
- Sentiment analysis in Pytorch on an IMDb dataset.☆68Updated 2 years ago
- Self-Supervised Learning in PyTorch☆138Updated last year
- Papers and code of Explainable AI esp. w.r.t. Image classificiation☆213Updated 3 years ago
- DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.☆152Updated 2 years ago
- Paper implementations from scratch and machine learning tutorials☆347Updated last year
- Probing the representations of Vision Transformers.☆327Updated 2 years ago
- LibAUC: A Deep Learning Library for X-Risk Optimization☆306Updated 10 months ago
- Experiments with supervised contrastive learning methods with different loss functions☆220Updated 2 years ago
- PyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.☆263Updated 4 years ago
- ☆25Updated 8 years ago
- An (unofficial) implementation of Focal Loss, as described in the RetinaNet paper, generalized to the multi-class case.☆236Updated last year
- Computer Vision and Pattern Recognition, NUS CS4243, 2022☆170Updated 3 years ago
- A summarization of Transformer-based architectures for CV tasks, including image classification, object detection, segmentation, and Few-…☆111Updated 3 years ago
- Original transformer paper: Implementation of Vaswani, Ashish, et al. "Attention is all you need." Advances in neural information process…☆238Updated last year
- CS231n Assignments Solutions - Spring 2020☆48Updated 4 years ago
- Easy to use class balanced cross entropy and focal loss implementation for Pytorch☆96Updated 7 months ago