Prashanth Rao's starred repositories
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
markdown-here
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.
face_recognition
The world's simplest facial recognition api for Python and the command line
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.
PlotNeuralNet
Latex code for making neural networks diagrams
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
clip-as-service
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
industry-machine-learning
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
spacy-course
👩🏫 Advanced NLP with spaCy: A free online course
finetune-transformer-lm
Code and model for the paper "Improving Language Understanding by Generative Pre-Training"
pytorch-openai-transformer-lm
🐥A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI
naacl_transfer_learning_tutorial
Repository of code for the tutorial on Transfer Learning in NLP held at NAACL 2019 in Minneapolis, MN, USA
How-to-learn-Deep-Learning
A top-down, practical guide to learn AI, Deep learning and Machine Learning.
Discovery-Hiring-Analyst-2016
Task description and data for candidates applying to be a Data Analyst in the Discovery department at Wikimedia Foundation.
microbiome-tools
For tool creators to share their inventions that analyze, visualize, and make meaning of microbiome data.
fasttext-vector-norms-and-oov-words
This blog post visualize vector norms of FastText embedding and evaluates use of FastText word vector norm multiplied with number of word n-grams for detecting non-english OOV words.
community-clusters
We look to apply big data techniques to perform large-scale graph mining on web crawl data. We utilize the Common Crawl web dataset, which is an open dataset hosted on Amazon Web Services' cloud platform. This is an extremely large dataset that consists of petabytes of web crawl data.