ManuSrivastava1

ManuSrivastava1's Stars

• ggerganov/llama.cpp

  LLM inference in C/C++

  Language:C++65k5453.7k9.3k

• streamlit/streamlit

  Streamlit — A faster way to build and share data apps.

  Language:Python34.6k3184.5k3k

• google-research/text-to-text-transfer-transformer

  Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"

  Language:Python6.1k106405751

• LDNOOBW/List-of-Dirty-Naughty-Obscene-and-Otherwise-Bad-Words

  List of Dirty, Naughty, Obscene, and Otherwise Bad Words

  2.9k7338660

• google-research/electra

  ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

  Language:Python2.3k60123351

• facebookresearch/InferSent

  InferSent sentence embeddings

  Language:Jupyter Notebook2.3k78133470

• microsoft/DeBERTa

  The implementation of DeBERTa

  Language:Python2k42123222

• jcpeterson/openwebtext

  Open clone of OpenAI's unreleased WebText dataset scraper. This version uses pushshift.io files instead of the API for speed.

  Language:Python708301979

• kevinzakka/pytorch-goodies

  PyTorch Boilerplate For Research

  Language:Python603181071

• richarddwang/electra_pytorch

  Pretrain and finetune ELECTRA with fastai and huggingface. (Results of the paper replicated !)

  Language:Python32434041

• prodramp/DeepWorks

  A collection of Deep Learning projects and resources

  Language:Jupyter Notebook284121139

• graph4ai/graph4nlp_demo

  This repo is to present various code demos on how to use our Graph4NLP library.

  Language:Jupyter Notebook15241131

• IngoScholtes/pathpy

  pathpy is an OpenSource python package for the modeling and analysis of pathways and temporal networks using higher-order and multi-order graphical models

  Language:Python144151927

• cfmrp/tutorial

  Tutorial on ‘Graph-Based Meaning Representations: Design and Processing’ (ACL 2019)

  11412318

• thunlp/AGE

  Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"

  Language:Python10971115

• alexjungaalto/FederatedLearning

  Material workbench for the master-level course CS-E4740 "Federated Learning"

  Language:Jupyter Notebook955535

• nairouz/R-GAE

  Language:Python532317

• sommerschield/iphi

  I.PHI dataset generation

  Language:Python25415

• idiap/gile

  A generalized input-label embedding for text classification

  Language:Python23746

• liyucheng09/MetaphorFrame

  FrameBERT: Conceptual Metaphor Detection with Frame Embedding Learning. Presented at EACL 2023.

  Language:Python231122

• AstraZeneca/NESS

  Official implementation of "NESS: Node Embeddings from Static Subgraphs"

  Language:Python13220

• dlg4nlp/dlg4nlp.github.io

  This website is to host a series of tutorials on Deep Learning on Graphs for Natural Language Processing.

  Language:JavaScript13101

• bugout-dev/papers

  Papers by Team Bugout.

  7503

• karndeepsingh/text_embeddings

  Language:Jupyter Notebook4204

• lepisma/spreading-idea

  Experiments in small world networks and fad propagation

  Language:JavaScript340

• xibelly/NLP_COURSERA_SPECIALIZATION

  In this repo you can find Logistic regression model, Laplacian smoothing, log likelihood, Naive Bayes model for tweets classification, Autocorrect models, Hidden Markov models for speech recognition, Auto-complete model using N-grams and perplexity score, Skip-gram model using word embeddings, Sentiment classification with Deep Neural Networks (embedding layer), Similar questions model using siamese neural netaworks

  Language:Jupyter Notebook3202

• auwalsoe/encode_nlp_workshop_2023

  A practical introduction to machine learning and natural language processing on papyrus data

  Language:Jupyter Notebook2200

• cltl/FN_Reader

  The goal of this repository is to provide insight into English FrameNet (v1.5 or v1.7) in the form of definitions, descriptive statistics, and visualizations.

  Language:Jupyter Notebook1140

• Faizan-E-Mustafa/GNN_EACL_Workshop

  Link Prediction using GNN

  Language:Python1100

• jryzu/GraphML

  DLG4NLP

  Language:Python1