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Carnegie Mellon University
- Pittsburgh, Pennslyvania
- https://www.linkedin.com/in/ayushpareek/
Stars
📚 Freely available programming books
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
The Web framework for perfectionists with deadlines.
Models and examples built with TensorFlow
A curated list of awesome Machine Learning frameworks, libraries and software.
Scrapy, a fast high-level web crawling & scraping framework for Python.
PyTorch Tutorial for Deep Learning Researchers
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.
Best Practices on Recommendation Systems
State-of-the-Art Text Embeddings
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
StarGAN - Official PyTorch Implementation (CVPR 2018)
Cracking the Coding Interview 6th Ed. Python Solutions
Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services
Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"
Text to image synthesis using thought vectors
Compilation of resources for aspiring data scientists
A Python module for communicating with the Twilio API and generating TwiML.
Keep track of internships for Summer 2020 for undergraduates interested in tech./SWE/related fields
Data Structure And Algorithmic Thinking With Python
Python solutions to Cracking the Coding Interview (6th edition)
Code to obtain the CNN / Daily Mail dataset (non-anonymized) for summarization
Python interface to CoreNLP using a bidirectional server-client interface.
Source code for transferable dialogue state generator (TRADE, Wu et al., 2019). https://arxiv.org/abs/1905.08743
The official repository for our programming kitchen which consists of 50+ delicious programming recipes having all the interesting ingredients ranging from dynamic programming, graph theory, linked…