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9123_introml

Solutions to EL-GY 9123 Intro to Machine Learning

a-pytorch-tutorial-to-super-resolution

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

amicorpusxml

Extracts Transcript and Summary (Abstractive and Extractive) from the AMI Meeting Corpus

buku_opencv

Buku OpenCV

clip_playground

colab

Continual Learning tutorials and demo running on Google Colaboratory.

contextnet

Tensorflow2 based implementation of ContextNet, an improved convolutional rnn-transducer-based architecture for end-to-end speech recognition using global context

continuallearning_recurrentnetworks

Evaluation of Continual Learning with Recurrent Neural Networks

cotta

[CVPR 2022] CoTTA Code for our paper Continual Test-Time Domain Adaptation

distributed_image_enhancement

ebm-continual-learning

Energy-Based Models for Continual Learning Official Repository (PyTorch)

emotions_from_speech

spring

energy-based-models-for-image-resolution

filrcn

finetuneclip

fullgradsaliency_tf

Simple TF version of Full-Gradient Saliency Maps source: https://github.com/idiap/fullgrad-saliency

gpt-neox

An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.

hello-world

first repository

improved_contrastive_divergence

[ICML'21] Improved Contrastive Divergence Training of Energy Based Models

keras-gan

Keras implementations of Generative Adversarial Networks.

landscapeviz

Visualizing the the loss landscape of Fully-Connected Neural Networks

lpf-sgd

machinelearning

NYU ECE GY-6143

mini_project_2022

movies_talkies

Basic Android app which fetches current movies, and provide features like movies about to release, movies which are all time favorites, etc etc

music-transcription

muzyc

music player

neural_networks_from_scratch

neural_networks_scratch

Learning Neural Networks from scratch

note

The official PyTorch Implementation of "NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation (NeurIPS '22)"