yashugupta786 Goto Github PK

deep-atrous-ner

Deep-Atrous-CNN-NER: Word level model for Named Entity Recognition

deep-learning

deep-learning-specialization-coursera

Deep Learning Specialization courses by Andrew Ng, deeplearning.ai

deep-named-entity-recognition

Use RNNs to identify entities in news queries

deeplearning-chatbot

Annabelle the noob. An experimental, incomplete(at present) chatbot.

deeprec

Implementation of Deep Learning based Recommender Algorithms with Tensorflow.

deepspell_temp

DeepSpell: Spelling Correction with Deep Learning based on Tall Weiss's DeepSpell code

deployment-links

deployment_dockerization

Adding code snippets and commands for ML/DL deployment and Containerization

django_chatterbot

An example Django project using ChatterBot

doc2vec

Python scripts for training/testing paragraph vectors

docker-development-youtube-series

docker-python-cronjob

Run python script as a cron job using Docker

dockerized-flask-celery-rabbitmq-redis

docs

TensorFlow documentation

document-classifier-lstm

A bidirectional LSTM with attention for multiclass/multilabel text classification.

document-similarity

Document Similarity using Word2Vec

ee_cht

elmo_embedings_text_cl

elmo embeding text classification

entity-recognition-datasets

A collection of corpora for named entity recognition (NER) and entity recognition tasks. These annotated datasets cover a variety of languages, domains and entity types.

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

fastapi

FastAPI framework, high performance, easy to learn, fast to code, ready for production

finbert_embedding

Token and sentence level embeddings from FinBERT model (Finance Domain)

flask-celery-ml

Handling long-running processes (like ML model predictions) inside a Flask app using Celery.

gensim_ngram

This is an extension of gensim model, which helps to create a N-gram model. Unlike using some phrases, this model is making use of N grams as context and center words.

get-things-done-with-prompt-engineering-and-langchain

LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and using retrieval QA chains to query the custom data. Projects for using a private LLM for chat with PDF files, cryptocurrency tweets sentiment analysis.

getting-things-done-with-pytorch

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

git_tut

gpu_docker_deployment_huggingface_summarization

Huggingface inference with GPU Docker on AWS

gunicorn_nginx_linux_command