DCtheTall / generative-deep-learning
Implementations of the models discussed in the book Generative Deep Learning by David Foster
☆12Updated 4 years ago
Alternatives and similar repositories for generative-deep-learning:
Users that are interested in generative-deep-learning are comparing it to the libraries listed below
- NLP tutorials I have written using TensorFlow☆12Updated 6 years ago
- TensorFlow implementations of several deep learning models (e.g. variational autoencoder, RNN, ...)☆37Updated 6 years ago
- Natural Language Processing Nanodegree from Udacity Platform, in which I implement Hidden Markov Model for POS Tagger, Bidirectional LSTM…☆20Updated 6 years ago
- Introduction to structured prediction with Python and pystruct☆18Updated 6 years ago
- ☆33Updated 5 years ago
- TensorFlow 2.0 + Keras guide by François Chollet for deep learning researchers.☆15Updated 5 years ago
- A curated list of references for MLOps☆13Updated 4 years ago
- Stats 479 Project☆22Updated 5 years ago
- resources for career development in data science☆16Updated 4 years ago
- Strategies to deploy deep learning models☆27Updated 6 years ago
- Experimental library for sampling and validating scikit-learn parameters☆10Updated 5 years ago
- Python package for graph statistics☆9Updated 4 years ago
- Contains the thorough experiments made for a FloydHub article on Anomaly Detection☆16Updated 4 years ago
- Minimal implementation of Denoised Smoothing (https://arxiv.org/abs/2003.01908) in TensorFlow.☆20Updated 3 years ago
- Programs with word vectors, RNN, NLP stuff, etc☆18Updated 7 years ago
- This is a machine learning challenge conducted by C&D Labs and Future Group in association with HackerEarth.☆10Updated 7 years ago
- DSGA-1003: Machine Learning and Computational Statistics, Spring 2018☆26Updated 2 years ago
- Deep Learning and Natural Language Processing using PyTorch (O'Reilly AI - NYC, 2019)☆11Updated 5 years ago
- My projects for fast.ai's Deep Learning from the Foundations course (fast.ai part2v3)☆39Updated 5 years ago
- A flexible neural network framework for running experiments and trying ideas.☆82Updated 5 years ago
- Collection of presentation of my work on various platforms and meetups☆22Updated 5 years ago
- Deploy Pytorch models to production via panini☆10Updated 5 years ago
- Time series analytics with Python☆17Updated 9 years ago
- Deep Emotion Analysis with Elastic and PyTorch☆16Updated 6 years ago
- AutoNLP: AutoML for NLP (WIP)☆13Updated 7 months ago
- The code to generate a top 20 score in the amazon classification challenge using Driverless AI's predictions and feature engineering : In…☆18Updated 7 years ago
- Baseline Python Scripts for Popular Kaggle Competitions☆17Updated 2 years ago
- Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.☆13Updated 4 years ago
- Code samples and other materials for presentations by Bespoke tech team members☆82Updated 2 years ago
- Data Science Boot-Camp : UC San DiegoX☆17Updated last year