Lists (3)
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Model interpretability and understanding for PyTorch
Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications
TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.
Repository containing the code used for running the experiments of the Poincare ResNet paper
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
Fast and memory-efficient exact attention
EyeWitness is designed to take screenshots of websites, provide some server header info, and identify default credentials if possible.
ICLR 2024 | Fully Hyperbolic Convolutional Neural Networks for Computer Vision | Official Implementation
Proejct files for a Stardew Valley inspired game in Python
A simple program to calculate and visualize the FLOPs and Parameters of Pytorch models, with handy CLI and easy-to-use Python API.
Hyperbolic Vision Transformers: Combining Improvements in Metric Learning | Official repository
dsgibbons / shap
Forked from shap/shapA game theoretic approach to explain the output of any machine learning model.
[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification B974
This is an official implementation of our NeurIPS 2022 paper "Bridging the Gap Between Vision Transformers and Convolutional Neural Networks on Small Datasets".
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Python Data Anonymization & Masking Library For Data Science Tasks
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
rlaiola / boca-docker
Forked from joaofazolo/boca-dockerA dockerized version of the BOCA Online Contest Administrator
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any model or data and different Shapley Values for tree-based m…
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
A Deep Learning Python Toolkit for Healthcare Applications.
Official PyTorch implementation of "ML-Decoder: Scalable and Versatile Classification Head" (2021)
Repository for the ocean microplastic classifition project.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai