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academic-kickstart

📝 Easily create a beautiful website using Academic, Hugo, and Netlify

adaptivemaskedproxies

Adaptive Masked Proxies for Few Shot Semantic Segmentation

advsemiseg

Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018

am3

Adaptive Cross-Modal Few-shot learning OSS code

analogy-finisher-and-word-similarity-calculator---natural-language-processing

A project that develops an analogy finisher (predictor of final word in an analogy) by using various word embeddings as training (such as the GloVe and LexVex embeddings; which are not included here due to the size of the files). Mikolov's analogy dataset was used to test the model's accuracy in completing the analogies. Additionally, the most similar words (synonyms) and most dissimilar words (antonyms) were calculated using cosine similarity for a select number of words.

apache-log-parser

Parses log lines from an apache log

awesome-learning-with-label-noise

A curated list of resources for Learning with Noisy Labels

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

awesome-semi-supervised-learning

:scroll: An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

awesome_opensetrecognition_list

A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition

canet

The code for paper "CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning"

chatbot

closerlookfewshot

source code to ICLR'19, 'A Closer Look at Few-shot Classification'

cnn-architecture

courses-notes-of-macine-learning-ng

Andrew Ng's stanford macine learning courses notes

cs-231n-2017spring-assignments

cs231n

斯坦福 cs231n 作业代码实践

cs231n-spring-2017-assignment

My implementation about CS231n spring 2017 homework. I chose to use tensorfow to implement assignment3.

darknet

Convolutional Neural Networks

datasketch

MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++

deep_learning_gluon

暂时停止更新，去做些巩固基础的工作

deep_learning_object_detection

A paper list of object detection using deep learning.

deepnlp-models-pytorch

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

deepsort

MOT using deepsort yolo3 with C++

deltaencoder

This is the tensorflow implementation for the paper "Delta-encoder: an effective sample synthesis method for few-shot object recognition" https://arxiv.org/abs/1806.04734

detector

detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

dexter

Dexter is a framework that implements some popular algorithms and provides all the tools needed to develop any entity linking technique.

dynamic-few-shot-visual-learning-without-forgetting

pytorch simple implement for "Dynamic Few-Shot Visual Learning without Forgetting" in Jupyter Version

east

A tensorflow implementation of EAST text detector