eugene-renoir,github

ai-dungeon-cli

GPT-3 Interactive CLI built on ai dungeon

cs224n-2019-solutions

Complete solutions for Stanford CS224n, winter, 2019

cs230-code-examples

Code examples in pyTorch and Tensorflow for CS230

d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

deep-learning-for-medical-applications

Deep Learning Papers on Medical Image Analysis

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

generative_models_tutorial_with_demo

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries.

kiwipiepy

Python API for Kiwi

kornludatasets

KorNLI and KorSTS: New Benchmark Datasets for Korean Natural Language Understanding

korquad.github.io

Korean wiki QA dataset for MRC

lmgec-lite

A language model-based approach to Grammatical Error Correction for English that uses minimal annotated data.

math_of_intelligence

translation of 'The Math of Intelligence'

mlconvgec2018

Code and model files for the paper: "A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction" (AAAI-18).

mt-reading-list

A machine translation reading list maintained by Tsinghua Natural Language Processing Group

nlp-library

curated collection of papers for the nlp practitioner 📖👩‍🔬

nlp_classification

Implementing nlp papers relevant to classification with PyTorch, gluonnlp

nlp_course

YSDA course in Natural Language Processing

nlp_with_pytorch_examples

도서 내의 코드들을 모아 놓은 repo입니다.

practical-nlp

Official Repository for 'Practical Natural Language Processing' by O'Reilly

prml

PRML algorithms implemented in Python

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

python_ml4nlp

패스트캠퍼스 자연어처리를 위한 머신러닝 실습 자료실

pytorch-project-template

A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.

pytorch-sentiment-analysis

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

eugene-renoir Goto Github PK

eugene-renoir's Projects

Recommend Projects

Recommend Topics

Recommend Org