250 Open source projects that are alternatives of or similar to AB_distillation

Awesome Knowledge Distillation

Scripts utilizing Heartex platform to build brand sentiment analysis from the news

Tensorflow implementation of Semi-supervised Sequence Learning (https://arxiv.org/abs/1511.01432)

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resource collection for transfer learning!

code for our ECCV 2020 paper "A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation"

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Group Fisher Pruning for Practical Network Compression(ICML2021)

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Awesome Graph Self-Supervised Learning

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A multi agent path planning solution under a warehouse scenario using Q learning and transfer learning.🤖️

Repositório dos exemplos e desafios utilizados na disciplina de Visão Computacional do curso de MBA Machine Learning da FIAP

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Zero-Shot Cross-Lingual Abstractive Sentence Summarization through Teaching Generation and Attention

Localization Distillation for Dense Object Detection (CVPR 2022)

An Object Detection Knowledge Distillation framework powered by pytorch, now having SSD and yolov5.

use transfer learning to detect smoke in images and videos

Research code for ACL 2020 paper: "Distilling Knowledge Learned in BERT for Text Generation".

A collection of projects which explore image classification on chest x-ray images (via the NIH dataset)

Video Representation Learning by Recognizing Temporal Transformations. In ECCV, 2020.

My solutions to the projects assigned for the Udacity Computer Vision Nanodegree

Intel® Neural Compressor (formerly known as Intel® Low Precision Optimization Tool), targeting to provide unified APIs for network compression technologies, such as low precision quantization, sparsity, pruning, knowledge distillation, across different deep learning frameworks to pursue optimal inference performance.

Customisable Unified Physical Simulations (CUPS) for Reinforcement Learning. Experiments run on the ai2thor environment (http://ai2thor.allenai.org/) e.g. using A3C, RainbowDQN and A3C_GA (Gated Attention multi-modal fusion) for Task-Oriented Language Grounding (tasks specified by natural language instructions) e.g. "Pick up the Cup or else"

Code for WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models.

Real-time AI-powered translation of American sign language to text

Adapt Transformer-based language models to new text domains

A Simple but Powerful CNN Trainer For PyTorch

No description or website provided.

Implementation of ULMFit algorithm for text classification via transfer learning

Protein Language Model

✂️ Automated high-quality background removal framework for an image using neural networks. ✂️

Implementatoin of object detection using Tensorflow 2.1.0 | this can be use in a car for object detection

Dialogue Knowledge Transfer Networks (DiKTNet)

This repository contains code for the O'Reilly Live Online Training for BERT

Code and resources on scalable and efficient Graph Neural Networks

Speech command recognition DenseNet transfer learning from UrbanSound8k in keras tensorflow

Unseen Object Segmentation in Videos via Transferable Representations, ACCV 2018 (oral)

[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images

Address book for computer vision models.

This repository is for the transfer learning or domain adaptive with fault diagnosis.

Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification

Multi-Label Image Classification via Knowledge Distillation from Weakly-Supervised Detection (ACM MM 2018)

A Student-Teacher Portal built using HTML, CSS, Python and Django

Localize to Classify and Classify to Localize: Mutual Guidance in Object Detection

🤖 Cozmo the Robot recognizes objects with TensorFlow

Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage machine learning, deep learning and deep transfer learning to learn and solve popular tasks using NLP including NER, Classification, Recommendation \ Information Retrieval, Summarization, Classification, Language Translation, Q&A and T…

Building an ACL tear detector to spot knee injuries from MRIs with PyTorch (MRNet)

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使用预训练好的InceptionV3模型对自己的数据进行分类，用这个代码的同学希望可以给一个star

Repository to track the progress in Meta-Learning (MtL), including the datasets and the current state-of-the-art for the most common MtL problems.

CNN histopathologic tumor identifier.