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Starred repositories
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
Deep Learning Specialization by Andrew Ng on Coursera.
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep N…
Tensorflow Implementation of Knowledge-Guided CVAE for dialog generation ACL 2017. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU
The Schema-Guided Dialogue Dataset
Minimal tutorial on packing and unpacking sequences in pytorch
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
The implementation of the model proposed in the Large-Scale Multi-Domain Belief Tracking with Knowledge Sharing paper
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
TensorFlow code and pre-trained models for BERT
Google AI 2018 BERT pytorch implementation
Simple RNN, LSTM and Differentiable Neural Computer in pure Numpy
A List of Data Science/Machine Learning Resources (Mostly Free)
Source code for end-to-end dialogue model from the MultiWOZ paper (Budzianowski et al. 2018, EMNLP)
A recurrent neural network for generating little stories about images
Fully Statistical Neural Belief Tracker (Mrkšić and Vulić, ACL 2018)
Global-Locally Self-Attentive Dialogue State Tracker
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
📖 A curated list of resources dedicated to Natural Language Processing (NLP)
Generative Adversarial Networks implemented in PyTorch and Tensorflow
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.