deepdb-publicImplementation of DeepDB: Learn from Data, not from Queries!
Stars: ✭ 61 (-19.74%)
Gumbel-CRFImplementation of NeurIPS 20 paper: Latent Template Induction with Gumbel-CRFs
Stars: ✭ 51 (-32.89%)
temporal-sslVideo Representation Learning by Recognizing Temporal Transformations. In ECCV, 2020.
Stars: ✭ 46 (-39.47%)
NanoFlowPyTorch implementation of the paper "NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity." (NeurIPS 2020)
Stars: ✭ 63 (-17.11%)
SfmlearnerAn unsupervised learning framework for depth and ego-motion estimation from monocular videos
Stars: ✭ 1,661 (+2085.53%)
VQ-APCVector Quantized Autoregressive Predictive Coding (VQ-APC)
Stars: ✭ 34 (-55.26%)
al-fk-self-supervisionOfficial PyTorch code for CVPR 2020 paper "Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision"
Stars: ✭ 28 (-63.16%)
TransferlearningTransfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Stars: ✭ 8,481 (+11059.21%)
CLSAofficial implemntation for "Contrastive Learning with Stronger Augmentations"
Stars: ✭ 48 (-36.84%)
PiCIEPiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in clustering (CVPR2021)
Stars: ✭ 102 (+34.21%)
latent-pose-reenactmentThe authors' implementation of the "Neural Head Reenactment with Latent Pose Descriptors" (CVPR 2020) paper.
Stars: ✭ 132 (+73.68%)
Discogan PytorchPyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"
Stars: ✭ 961 (+1164.47%)
ViCC[WACV'22] Code repository for the paper "Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting", https://arxiv.org/abs/2106.10137.
Stars: ✭ 33 (-56.58%)
learning-topology-synthetic-dataTensorflow implementation of Learning Topology from Synthetic Data for Unsupervised Depth Completion (RAL 2021 & ICRA 2021)
Stars: ✭ 22 (-71.05%)
Awesome VaesA curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
Stars: ✭ 418 (+450%)
mmselfsupOpenMMLab Self-Supervised Learning Toolbox and Benchmark
Stars: ✭ 2,315 (+2946.05%)
SimCLR-in-TensorFlow-2(Minimally) implements SimCLR (https://arxiv.org/abs/2002.05709) in TensorFlow 2.
Stars: ✭ 75 (-1.32%)
adareg-monodispnetRepository for Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction (CVPR2019)
Stars: ✭ 22 (-71.05%)
PICParametric Instance Classification for Unsupervised Visual Feature Learning, NeurIPS 2020
Stars: ✭ 41 (-46.05%)
srVAEVAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.
Stars: ✭ 56 (-26.32%)
Revisiting-Contrastive-SSLRevisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]
Stars: ✭ 81 (+6.58%)
DraganA stable algorithm for GAN training
Stars: ✭ 189 (+148.68%)
SimclrSimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
Stars: ✭ 2,720 (+3478.95%)
PaysageUnsupervised learning and generative models in python/pytorch.
Stars: ✭ 109 (+43.42%)
Nlp ArchitectA model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks
Stars: ✭ 2,768 (+3542.11%)
3DInfomaxMaking self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.
Stars: ✭ 107 (+40.79%)
Pytorch Sentiment AnalysisTutorials on getting started with PyTorch and TorchText for sentiment analysis.
Stars: ✭ 3,209 (+4122.37%)
Nn🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Stars: ✭ 5,720 (+7426.32%)
thermostatCollection of NLP model explanations and accompanying analysis tools
Stars: ✭ 126 (+65.79%)
Dalle PytorchImplementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
Stars: ✭ 3,661 (+4717.11%)
SimpletransformersTransformers for Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI
Stars: ✭ 2,881 (+3690.79%)
glico-learning-small-sampleGenerative Latent Implicit Conditional Optimization when Learning from Small Sample ICPR 20'
Stars: ✭ 20 (-73.68%)
Spark NlpState of the Art Natural Language Processing
Stars: ✭ 2,518 (+3213.16%)
object-aware-contrastiveObject-aware Contrastive Learning for Debiased Scene Representation (NeurIPS 2021)
Stars: ✭ 44 (-42.11%)
TransmogrifaiTransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning
Stars: ✭ 2,084 (+2642.11%)
Fengshenbang-LMFengshenbang-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。
Stars: ✭ 1,813 (+2285.53%)
Clue中文语言理解测评基准 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard
Stars: ✭ 2,425 (+3090.79%)
Fast BertSuper easy library for BERT based NLP models
Stars: ✭ 1,678 (+2107.89%)
Haystack🔍 Haystack is an open source NLP framework that leverages Transformer models. It enables developers to implement production-ready neural search, question answering, semantic document search and summarization for a wide range of applications.
Stars: ✭ 3,409 (+4385.53%)
Reformer PytorchReformer, the efficient Transformer, in Pytorch
Stars: ✭ 1,644 (+2063.16%)
SnowflakeNet(TPAMI 2022) Snowflake Point Deconvolution for Point Cloud Completion and Generation with Skip-Transformer
Stars: ✭ 74 (-2.63%)
KoBERT-TransformersKoBERT on 🤗 Huggingface Transformers 🤗 (with Bug Fixed)
Stars: ✭ 162 (+113.16%)
Tokenizers💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
Stars: ✭ 5,077 (+6580.26%)
Vit PytorchImplementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Stars: ✭ 7,199 (+9372.37%)
CGMMOfficial Repository of "Contextual Graph Markov Model" (ICML 2018 - JMLR 2020)
Stars: ✭ 35 (-53.95%)
CogViewText-to-Image generation. The repo for NeurIPS 2021 paper "CogView: Mastering Text-to-Image Generation via Transformers".
Stars: ✭ 708 (+831.58%)
VQGAN-CLIP-DockerZero-Shot Text-to-Image Generation VQGAN+CLIP Dockerized
Stars: ✭ 58 (-23.68%)
deepvismachine learning algorithms in Swift
Stars: ✭ 54 (-28.95%)
KB-ALBERTKB국민은행에서 제공하는 경제/금융 도메인에 특화된 한국어 ALBERT 모델
Stars: ✭ 215 (+182.89%)
soft-intro-vae-pytorch[CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Variational Autoencoders"
Stars: ✭ 170 (+123.68%)
CS-DisMo[ICCVW 2021] Rethinking Content and Style: Exploring Bias for Unsupervised Disentanglement
Stars: ✭ 20 (-73.68%)
hashformersHashformers is a framework for hashtag segmentation with transformers.
Stars: ✭ 18 (-76.32%)