adderbyte Goto Github PK

ademxapp

Code for https://arxiv.org/abs/1611.10080

african_lang_corpus

albumentations_examples

Augmentations usage examples for albumentations library

assd-pytorch

ASSD learns to highlight useful regions on the feature maps while suppressing the irrelevant information, thereby providing reliable guidance for object detection.

autodifferentiation-and-manifold-learning

bandits

Python library for Multi-Armed Bandits

cb-kafka-connect

Couchbase Kafka Example using docker

cifar10-img-classification-tensorflow

image classification with CIFAR10 dataset w/ Tensorflow

conversational_ai

rasa core. rasa nlu. conversational AI. flask. natural language processing.

covid_19_response

covid-19. coronavirus. SARS-CoV-2. 2019-nCoV . Covid-19 Tweets Analytics. Artificial Intelligence. Statistical Analysis

cryptographic_algorithm

cs231n.github.io

Public facing notes page

cuda_programing_hpc

customer_bot

Simple chatbot using Rasa.ai

dash-salesforce-crm

dash_multipage

dask_dash

data_visualisation_and_data_proj

Project on Visualisation for Data Analytics using D3JS and GEPHI

datacentricengineersworkgroup

datapoisoning_fl

Code for Data Poisoning Attacks Against Federated Learning Systems

datavisualization

For data visualization project EPFL

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-learning-using-pytorch

deep_q_network_reinforcement_learning

denoising-diffusion-gan

Tackling the Generative Learning Trilemma with Denoising Diffusion GANs https://arxiv.org/abs/2112.07804

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

dockerfiles

Collection of Dockerfile I created for various purpose

eegnet

PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces - https://arxiv.org/pdf/1611.08024.pdf

energy_prediction_bot

Dynamic Energy estimation

entropicgans_meet_vaes

Official implementation of "EntropicGANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs"