josephkj Goto Github PK

latent-energy-transport

levit

LeViT a Vision Transformer in ConvNet's Clothing for Faster Inference

maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

mammoth

An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning

mason

(ECCV-W 2018) Segmentations using MASON

maximally_interfered_retrieval

Codebase for "Online Continual Learning with Maximally Interfered Retrieval"

merlin

(NeurIPS 2020) Meta-Consolidation for Continual Learning

minimal

A Theme for GitHub Pages

multimodal-prompt-learning

Official repository of paper titled "MaPLe: Multi-modal Prompt Learning".

mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

ncl

Neighborhood Contrastive Learning for Novel Class Discovery, CVPR 2021

njavallil

Source code for my family website that I made in 2012.

nodecellar

Sample application built with Backbone.js, Twitter Bootstrap, Node.js, Express, MongoDB

object-proposals

Repository containing wrapper to obtain various object proposals easily

objectnessawareregionproposal

This repository contains Faster R-CNN object detector that is modified to have RPN to be trained in an Objectness Aware fashion.

owod

(CVPR 2021 Oral) Open World Object Detection

pggan-pytorch

:fire::fire: PyTorch implementation of "Progressive growing of GANs (PGGAN)" :fire::fire:

progressive-gan-pytorch

Implemetatin of Progressive Growing of GANs in PyTorch

pthread-lib

Automatically exported from code.google.com/p/pthread-lib

pubnub_countmin

python-objectness

Python implementation of the PAMI 2012 paper "Measuring the Objectness of Image Windows" and the CVPR 2010 paper "What is an object ?"

pythonbayesianprediction

Here we are going to evaluate the posterior using MCMC and use it to make Bayesian Prediction.

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-cifar-models

3.41% and 17.11% error on CIFAR-10 and CIFAR-100

pytorch-maml

An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta

pytorch-maml-and-reptile

MAML and Reptile sine wave regression example in PyTorch

pytorch-meta

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

reed_generative-adversarial-text-to-image-synthesis

Generative Adversarial Text-to-Image Synthesis