ameenali Goto Github PK

encoder-forest

eForest: Reversible mapping between high-dimensional data and path rule identifiers using trees embedding

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

explainability_covid19

Official Code Implementation of the paper : Explainability Guided Multi-Site Covid-19 CT Classification

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

featurelearningrotnet

fga

folder-structure-conventions

Folder / directory structure options and naming conventions for software projects

google-drive-backup

A Python script to sync your google drive contents.

grad-cam-pytorch

PyTorch implementation of Grad-CAM, vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps

graphormer

Graphormer is a deep learning package that allows researchers and developers to train custom models for molecule modeling tasks. It aims to accelerate the research and application in AI for molecule science, such as material discovery, drug discovery, etc.

hiddenmambaattn

Official PyTorch Implementation of "The Hidden Attention of Mamba Models"

how-to-use-github

This is the supplementary material for "How to Use GitHub" By Siraj Raval on Youtube

hypernetworks

PyTorch implementation of HyperNetworks (Ha et al., ICLR 2017) for ResNet (Residual Networks)

im2recipe

Code supporting the CVPR 2017 paper "Learning Cross-modal Embeddings for Cooking Recipes and Food Images"

incremental-decision-tree-learner-python

based on the hoeffding tree i.e. very fast decision tree (VFDT). the paper "Mining High-Speed Data Streams" is published by Domingos & Hulten 2000. Another newly published paper extend this model "Extremely Fast Decision Tree" by Manapragada, Webb & Salehi 2018

interpretability-by-parts

Code repository for "Interpretable and Accurate Fine-grained Recognition via Region Grouping", CVPR 2020 (Oral)

interpretable_ddts_aistats2020

Public code for implementation and experiments with differentiable decision trees.

keras

Deep Learning for humans

knowledge-distillation-zoo

Pytorch implementation of various Knowledge Distillation (KD) methods.

linear-probes

Evaluating AlexNet features at various depths

localizingmoments

Github for my ICCV 2017 paper: "Localizing Moments in Video with Natural Language"

machinelearningtools

metatrees

models

Models and examples built with TensorFlow

multimodal_vtt

Joint Embedding with Multimodal Cues for Cross-Modal Video-Text Retrieval

neural-decision-forests

An implementation of the Deep Neural Decision Forests in PyTorch

nlp-models

Solve NLP problems using Machine learning and Deep learning models

nlp-tools

various nlp tools implementations from the course intro to nlp - technion

node

Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data

opencv

Open Source Computer Vision Library