greeness

greeness's Stars

• grpc/grpc

  The C based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)

  Language:C++42.2k1.4k11.5k10.6k

• google-research/bert

  TensorFlow code and pre-trained models for BERT

  Language:Python38.5k1k1.1k9.6k

• dmlc/xgboost

  Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

  Language:C++26.5k9105.3k8.7k

• sebastianruder/NLP-progress

  Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

  Language:Python22.8k1.3k1013.6k

• jina-ai/clip-as-service

  🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

  Language:Python12.5k2226112.1k

• allenai/allennlp

  An open-source NLP research library, built on PyTorch.

  Language:Python11.8k2802.6k2.3k

• google/sentencepiece

  Unsupervised text tokenizer for Neural Network-based text generation.

  Language:C++10.4k1257551.2k

• vahidk/EffectiveTensorflow

  TensorFlow tutorials and best practices.

  8.6k34418906

• jupyter/docker-stacks

  Ready-to-run Docker images containing Jupyter applications

  Language:Python8.1k1889053k

• drivendata/cookiecutter-data-science

  A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

  Language:Python7.7k1181612.4k

• jason718/awesome-self-supervised-learning

  A curated list of awesome self-supervised methods

  6.2k24819830

• google-deepmind/graph_nets

  Build Graph Nets in Tensorflow

  Language:Python5.4k225130785

• simoninithomas/Deep_reinforcement_learning_Course

  Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

  Language:Jupyter Notebook3.8k133741.2k

• dkozlov/awesome-knowledge-distillation

  Awesome Knowledge Distillation

  3.5k1128495

• tensorflow/hub

  A library for transfer learning by reusing parts of TensorFlow models.

  Language:Python3.5k1567051.7k

• danielecook/Awesome-Bioinformatics

  A curated list of awesome Bioinformatics libraries and software.

  3.2k17111619

• fastnlp/fastNLP

  fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.

  Language:Python3.1k82218449

• phanein/deepwalk

  DeepWalk - Deep Learning for Graphs

  Language:Python2.7k85111823

• scikit-learn-contrib/category_encoders

  A library of sklearn compatible categorical variable encoders

  Language:Python2.4k39295396

• lilianweng/stock-rnn

  Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.

  Language:Python1.8k11728673

• google/nucleus

  Python and C++ code for reading and writing genomics data.

  Language:C++7875043125

• lilianweng/transformer-tensorflow

  Implementation of Transformer Model in Tensorflow

  Language:Python46513487

• guoyinwang/LEAM

  Language:Jupyter Notebook32382391

• Refefer/fastxml

  FastXML / PFastXML / PFastreXML - Implementation of Extreme Multi-label Classification

  Language:Python148103547

• googlegenomics/gcp-variant-transforms

  GCP Variant Transforms

  Language:Python1371723955

• dhruvramani/C2AE-Multilabel-Classification

  Tensorflow implementation for the paper 'Learning Deep Latent Spaces for Multi-Label Classfications' in AAAI 2017

  Language:Python10181224

• roomylee/self-attentive-emb-tf

  Simple Tensorflow Implementation of "A Structured Self-attentive Sentence Embedding" (ICLR 2017)

  Language:Python926232

• tcncloud/protoc-gen-persist

  GRPC SQL and Spanner persistence layer

  Language:Go66153411

• hinanmu/C2AE_tensorflow

  Tensorflow implementation of the paper 'Learning Deep Latent Spaces for Multi-Label Classifications' in AAAI 2017

  Language:Python19242

• greeness/EM-Tutorial

  My notes about expectation maximization. (Heavily taken from the referenced papers and tutorials)

  10303