Pinned Repositories
android-paint
Microsoft Paint Clone written in Python 3 and Pygame
awesome-deep-learning-papers
The most cited deep learning papers
Bias_explanation_with_MDL
This is a fork of the original code repo for the Lipstick on the pig paper.
Code
CS152DiscordBot
CS221Project
cs224n-winter17-notes
Course notes for CS224N Winter17
CSN212
Implementation of some standard algorithms in C++.
dcgan_code
Deep Convolutional Generative Adversarial Networks
YoutubeShortsGeneration
AI generated short clips for podcasts
rc19's Repositories
rc19/YoutubeShortsGeneration
AI generated short clips for podcasts
rc19/android-paint
Microsoft Paint Clone written in Python 3 and Pygame
rc19/awesome-deep-learning-papers
The most cited deep learning papers
rc19/Bias_explanation_with_MDL
This is a fork of the original code repo for the Lipstick on the pig paper.
rc19/Code
rc19/CS152DiscordBot
rc19/CS221Project
rc19/cs224n-winter17-notes
Course notes for CS224N Winter17
rc19/CSN212
Implementation of some standard algorithms in C++.
rc19/dcgan_code
Deep Convolutional Generative Adversarial Networks
rc19/cs224w-notes
CS224W Course Notes
rc19/CS330_Project
rc19/description-length-probing
This is a repository with the code for the paper "Information-Theoretic Probing with Minimum Description Length"
rc19/GNNs-for-NLP
Graph Neural Networks for Natural Language Processing tutorial at EMNLP 2019
rc19/Hello_World
My first Github repo
rc19/langchain
For contrubuting to official repo
rc19/Lattice-Reduction
Implementation of the LLL algorithm in C. Also provides a cython wrapper for the C function so that it may be used in python.
rc19/llama_index
LlamaIndex (formerly GPT Index) is a data framework for your LLM applications
rc19/Naive_Bayes_text_classifier
rc19/Project7-CS472
Project7-CS472
rc19/PyGazeAnalyser
Analysis and high-level plotting toolbox for eye-tracking data
rc19/random_work
rc19/rc19.github.io
rc19/tydiqa
TyDi QA contains 200k human-annotated question-answer pairs in 11 Typologically Diverse languages and is designed for the training and evaluation of automatic question answering systems. TyDi QA's questions are written without seeing the answer and without the use of translation. This repository provides evaluation code and a baseline system for the dataset.