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100 Must-Read NLP Papers
🧑🏫 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. 🧠
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
CIFAR 10 Classification using PyTorch | Deep Learning and Computer Vision
Contrastive Language-Image Forensic Search allows free text searching through videos using OpenAI's machine-learning model CLIP
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.
A collection of various deep learning architectures, models, and tips
Programming Assignments from Generative Adversarial Networks course
Implementing Neural Language Model on a toy data! Easy to follow and grasp the concepts behind Bengio's et al. algorithm.
Literature Review and Roadmaps for robust Knowledge-based LLMs
ACL'2021: LM-BFF: Better Few-shot Fine-tuning of Language Models
LUKE -- Language Understanding with Knowledge-based Embeddings
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Image Recognition | MNIST dataset | Deep Learning and Computer Vision
NLP in Python with Deep Learning
PRAWReddit gets you all the submission from a specific subreddit with all the comments, and their selected meta-data in a pandas dataframe.
Must-read papers on prompt-based tuning for pre-trained language models.
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.
Implementing BERT using PyTorch on Smile Dataset ( Guided Project | Sentiment Analysis with Deep Learning using BERT | Coursera )
all sorting algos in c
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.