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pml2-book

Probabilistic Machine Learning: Advanced Topics

practical-pytorch

Practical PyTorch tutorials, focused on using neural networks for natural language tasks

practical_seq2seq

A simple, minimal wrapper for tensorflow's seq2seq module, for experimenting with datasets rapidly

practice-python

Part of my daily plan for studying Python.

privategpt

Interact privately with your documents using the power of GPT, 100% privately, no data leaks

py-corenlp

Python wrapper for Stanford CoreNLP

pybrain

pybrain-practice

A regression example for PyBrain

pylearn2

A Machine Learning library based on Theano

pylearn2-practice

Pylearn2 in practice

pyresparser

A simple resume parser used for extracting information from resumes

python

All Algorithms implemented in Python

python-machine-learning-book

The "Python Machine Learning" book code repository and info resource

python-tf-idf

An extremely simple Python library to perform TF-IDF document comparison.

pytorch-openai-transformer-lm

🐥A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI

pytorch-pretrained-bert

📖The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.

pytorch-pretrained-biggan

🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.

pytorch2keras

Pytorch to Keras model convertor

query_embeddings

"Query Embeddings", which are an extension of word embeddings, but are useful to understand similarity between queries, learned by the neural network algorithms in an unsupervised fashion. The overall goal is to improve relevance of pages returned for the unseen queries sent to our search engine. Area: Deep Learning for Information Retrieval.

question-classification

questionansweringoverfb

quiver

Interactive convnet features visualization for Keras

quivr

🧠 Dump all your files and thoughts into your private GenerativeAI Second Brain and chat with it 🧠

recurrentshop

Framework for building complex recurrent neural networks with Keras

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement-learning-an-introduction

Python code for Reinforcement Learning: An Introduction

relation-autoencoder

this is the code used in the paper "Discrete-State Variational Autoencoders for Joint Discovery and Factorization of Relations"

relation-discovery-features-knn

demonstration of KNN and features extraction for relaiton discovery

representation-learning

Unsupervised Deep Learning and Representation Learning Tutorial

resnet.torch

an updated version of fb.resnet.torch with many changes.