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adv_nlp_workshop_odsc_europe22

Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage deep learning and deep transfer learning to solve popular tasks in NLP including Classification, Information Retrieval, Sentiment Analysis, Search Engines, Clustering, Paraphrase Mining, Summarization, Language Translation, Q&A systems

adversarialnetspapers

The classical papers and codes about generative adversarial nets

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

bez_model

Bruce-Erfani-Zilany Auditory Model

bigdl

BigDL: Distributed Deep Learning Library for Apache Spark

bionlp-2016

capsnet-keras

A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.34%.

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-learning-for-recommendation-systems

This repository contains Deep Learning based articles , paper and repositories for Recommender Systems

deepmind-atari-deep-q-learner

The original code from the DeepMind article + my tweaks

deepspeedexamples

Example models using DeepSpeed

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

drug_word_embeddings

development and intrinsic evaluation of drug related word embeddings using PubMed abstracts and DrugBank

googlenews_vectors

Google news word vectors

gym

A toolkit for developing and comparing reinforcement learning algorithms.

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

homework

top3

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

keras-resources

Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library

machine-learning-market-maker

Implementation of a Bayesian-style market maker in the vein of 'Intelligent Market-Making in Artificial Financial Markets' by Sanmay Das

machine-learning-trader

Proof of concept for a machine learning trader utilizing

mapreduce_matchingpursuit

A Matlab Code for fast matching pursuit using the idea of map reduce - currently on a single machine

mapreduce_matchingpursuitpython

A Python Code for fast matching pursuit using the idea of map reduce - currently on a single machine

maxhr

maximum heart rate estimation from noisy data

multi-view-networks-for-text-classification

Multi-View Deep Neural Networks for Text Classification

neuraldialogpapers

Summary of deep learning models for dialog systems

openai-cookbook

Examples and guides for using the OpenAI API

openai-python