srb-cv

cgl

Concept Group Learning to induce interpretability in CNNs

AttentionClassification

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

awesome-deep-learning-papers

The most cited deep learning papers

awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

DeepLearningBook_Summary

Summary to chapter of book DEEP LEARNING by Ian Goodfellow, Yoshua Bengio and Aaron Courville

E-PrimeCourse

keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

kickstart.nvim

A launch point for your personal nvim configuration

models

Models and examples built with TensorFlow

MultiBench

[NeurIPS 2021] Multiscale Benchmarks for Multimodal Representation Learning

multimodal_routing

nvim_config

My nvim config on top of Lazy Vim

Ovation

The Ovation Framework for Conversational Intelligence

probability_cheatsheet

A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.

python_learn

pytorch-lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

PyTorch_CIFAR10

Pretrained TorchVision models on CIFAR10 dataset (with weights)

srb-cv.github.io

Personal Webpage

starter

Starter template for LazyVim

tensorflow

Computation using data flow graphs for scalable machine learning

Torch_n_Lua_tutorials

All useful links, collaborated at one site for ease of learning

vdl_assignment3

Assignment 3 for VDL lecture at TU Kaiserslautern

vision

Datasets, Transforms and Models specific to Computer Vision

YOLO-series

A series of notebooks describing how to use YOLO (darkflow) in python