liyongsea

parallel_corpus_mnbvc

parallel corpus dataset from the mnbvc project

challenge-data

Lasagne

neural network tools for Theano

bigcode-analysis

Repository for analysis and experiments in the BigCode project.

bigcode-dataset

caffe

Caffe: a fast open framework for deep learning.

caffe-deconvnet

A deconvolutional network in caffe

caffe-lstm-docker

public docker image for caffe-lstm

caffe2

Caffe2 is a lightweight, modular, and scalable deep learning framework.

code-clippy-vscode

VSCode extension for code suggestion

codegeex-vscode-extension

VS Code extension for CodeGeeX

Compare_patches

projet du cours imagerie satellitaire

deep-math

Implementation of "Analysing Mathematical Reasoning Abilities of Neural Models"

DIGITS

Deep Learning GPU Training System

docker-ubuntu-scikit-numpy

Dockerfile to automate build of ubuntu-scikit-numpy ready image on Docker Hub

Graphcut

horizontal_split

ImageProcessing

image processing stuff

Jia_LI

personal documents

keras-docker

numerical-tours

Toolboxes used by www.numerical-tours.com

py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

scikit-learn

scikit-learn: machine learning in Python

skflow

Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning

tensorflow

Computation using data flow graphs for scalable machine learning

Theano

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

WSI-SDK

Toolkit for WSI preprocess, such as resample & zoom, mask, roi selection ect.