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100-nlp-papers

100 Must-Read NLP Papers

advanced-machine-learning

annotated_deep_learning_paper_implementations

🧑‍🏫 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit), optimizers (adam, radam, adabelief), gans(dcgan, cyclegan, stylegan2), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, etc. 🧠

apoudelnd.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

cifar-10-classification-

CIFAR 10 Classification using PyTorch | Deep Learning and Computer Vision

clifs

Contrastive Language-Image Forensic Search allows free text searching through videos using OpenAI's machine-learning model CLIP

craiglist-scraper-

This scraping tool allows you to scrap all the details of the cars which have been enlisted on craiglist for sale. It makes use of Python, BeautifulSoup, Pandas and various other Python techniques.

deeplearning-models

A collection of various deep learning architectures, models, and tips

gan-coursera

Programming Assignments from Generative Adversarial Networks course

implementation-of-neural-language-model

Implementing Neural Language Model on a toy data! Easy to follow and grasp the concepts behind Bengio's et al. algorithm.

indosimcse

k-llms

Literature Review and Roadmaps for robust Knowledge-based LLMs

lm-bff

ACL'2021: LM-BFF: Better Few-shot Fine-tuning of Language Models

luke

LUKE -- Language Understanding with Knowledge-based Embeddings

machine-learning-with-python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

mlfinal

mlproject

mnist-

Image Recognition | MNIST dataset | Deep Learning and Computer Vision

model_discrepancy

nlp_quickbook

NLP in Python with Deep Learning

prawreddit

PRAWReddit gets you all the submission from a specific subreddit with all the comments, and their selected meta-data in a pandas dataframe.

promptpapers

Must-read papers on prompt-based tuning for pre-trained language models.

sentence-segmentation

This project emphasizes on the concept of regular expression and basic python techniques. In this project, we try on segmenting the given text into sentences with utmost accuracy. While doing so, we take care of the special occasions or conditions such as Mr. Mrs. U.N.O and so on.

sentiment-analysis-on-app-reviews-using-bert

sentiment-analysis-using-bert-

Implementing BERT using PyTorch on Smile Dataset ( Guided Project | Sentiment Analysis with Deep Learning using BERT | Coursera )

simpletrace

sorting

all sorting algos in c

text_classification

tracebert

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.