502 Open source projects that are alternatives of or similar to transformer_generalization

Code for the paper "KISS: Keeping it Simple for Scene Text Recognition"

A pytorch reimplement of paper "Momentum Contrast for Unsupervised Visual Representation Learning"

An up-to-date & curated list of Awesome IMU-based Human Activity Recognition(Ubiquitous Computing) papers, methods & resources. Please note that most of the collections of researches are mainly based on IMU data.

The project is the official implementation of our CVPR 2021 paper, "Restoring Extremely Dark Images in Real Time"

A neatly typeset version of John McCarthy's classic paper

Code for our paper -- Hyperprior Induced Unsupervised Disentanglement of Latent Representations (AAAI 2019)

Fengshenbang-LM(封神榜大模型)是IDEA研究院认知计算与自然语言研究中心主导的大模型开源体系，成为中文AIGC和认知智能的基础设施。

Implementation of Model-Agnostic Meta-Learning (MAML) applied on Reinforcement Learning problems in TensorFlow 2.

DimeNet and DimeNet++ models, as proposed in "Directional Message Passing for Molecular Graphs" (ICLR 2020) and "Fast and Uncertainty-Aware Directional Message Passing for Non-Equilibrium Molecules" (NeurIPS-W 2020)

A Minecraft world management plugin

Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.

A spigot plugin for creating customisable home islands with different biomes. https://www.spigotmc.org/resources/islands-home-islands-system.84303/

Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"

An attendance system which uses facial recognition to detect which people are present in any image.

Nice and flexible template environment for papers written in LaTeX

Collection of paper latex template for several computer vision related conference.

研究资源列表 A curated list of research resources

Code used in the paper "Time Series Clustering via Community Detection in Networks"

Using Transformers from HuggingFace in R

Sentence Similarity Estimator (SenSim)

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

Collection of books/papers that I've read/I'm going to read/I would remember that they exist/It is unlikely that I'll read/I'll never read.

[NeurIPS 2021] COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining

GemNet model in PyTorch, as proposed in "GemNet: Universal Directional Graph Neural Networks for Molecules" (NeurIPS 2021)

AAAI20 "CopyMTL: Copy Mechanism for Joint Extraction of Entities and Relations with Multi-Task Learning"

Tensorflow Implementation of the paper "Topology Adaptive Graph Convolutional Networks" (Du et al., 2017)

Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io

Code accompanying the paper "A Generative Framework for Zero Shot Learning with Adversarial Domain Adaptation"

Paper, dataset and code collection on human body reconstruction

📚 记录一些自己读过的论文与笔记

Must-read papers on Natural Language Processing (NLP)

A toolkit for generating datasets of midi files which have been degraded to be 'un-musical'.

Code for CVPR 2020 paper "Deep Local Parametric Filters for Image Enhancement"

Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"

code for our CVPR 2020 paper "PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes"

Curriculum Learning related papers and materials

CORe50: a new Dataset and Benchmark for Continual Learning

PaperView 是一个自定义的View，它就像一张纸折叠和展开

Papers with code. Sorted by stars. Updated weekly.

No description or website provided.

📰 Past Papers Sharing Platform Based On Vue.js & GCE Guide | CAIE 试卷分享与下载平台

Code accompanying the paper "Semi-supervised adversarial audio source separation applied to singing voice extraction"

Implementation of the paper "Language-agnostic representation learning of source code from structure and context".

A context encoder for audio inpainting

Quantize weights and activations in Recurrent Neural Networks.

个人博客；论文；机器学习；深度学习；Python学习；C++学习；

Cure53 Browser Security White Paper

Code for our ACML and INTERSPEECH papers: "Speaker Diarization as a Fully Online Bandit Learning Problem in MiniVox".

Self-supervised Deep LiDAR Odometry for Robotic Applications

A paper list with code of lane detection.

Seminar work "Decision Trees - An Introduction" with presentation, seminar paper, and Python implementation

A Latex style and template for paper preprints (based on NIPS style)

Some of the ML and DL related reading materials, research papers that I've read

Easy text classification for everyone : Bert based models via Huggingface transformers (KR / EN)

TACL 2020: Syntax-Guided Controlled Generation of Paraphrases

Implementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch

X-Transformer: Taming Pretrained Transformers for eXtreme Multi-label Text Classification

[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

[AAAI 2022] This is the official PyTorch implementation of "Less is More: Pay Less Attention in Vision Transformers"

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code