Sougata Pramanik's Projects
Summaries of papers on machine learning, computer vision, autonomous robots etc.
Papers from the computer science community to read and discuss.
PyTorch implementation of the NIPS-17 paper "PoincarΓ© Embeddings for Learning Hierarchical Representations"
Official Repository for 'Practical Natural Language Processing' by O'Reilly Media
PyTorch tutorials demonstrating modern techniques with readable code
π A practical approach to machine learning.
Curated list of project-based tutorials
Notes from our advanced python study group.
A natural language modeling framework based on PyTorch
Exercism exercises in Python.
Code repository for Python Deep Learning Cookbook, published by Packt
An introduction to Python for data analysis.
The "Python Machine Learning (1st edition)" book code repository and info resource
Jupyter Notebooks for the Python Data Science Handbook
Tensors and Dynamic neural networks in Python with strong GPU acceleration
PyTorch tutorial for learners
πΎ A library of state-of-the-art pretrained models for Natural Language Processing (NLP)
PyTorch Tutorial for Deep Learning Researchers
Python programs to practice or demonstrate skills.
Microsoft Quantum Developer Kit Samples and Libraries
TensorFlow implementation of Match-LSTM and Answer pointer for the popular SQuAD dataset.
This repo collects and re-produces models related to domains of question answering and machine reading comprehension
Question Answering System with Natural Language Processing for defined domain.
Must-read papers on Machine Reading Comprehension
Survey on Machine Reading Comprehension
recurrent attention based on keras. Question Answering SQUAD dataset
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano