karpathy

"""
The most atomic way to train and inference a GPT in pure, dependency-free Python.
This file is the complete algorithm.
Everything else is just efficiency.

@karpathy
"""

import os       # os.path.exists
import math     # math.log, math.exp

lopuhin

$ pip install torch==1.1.0 torchvision==0.3.0
$ OMP_NUM_THREADS=1 ipython
Python 3.6.7 (default, Oct 22 2018, 11:32:17)

In [1]: import torch
   ...: from torchvision.models import resnet50

In [2]: def forward(m, x):
   ...:     """ resnet without average pooling """
   ...:     x = m.conv1(x)

malloxpb

Final report for GSoC 2018

Chau Tung Lam Nguyen

Scrapy project - Python Software Foundation

Summary

Code Repository: https://github.com/scrapy/scurl

kmike

import numpy as np
import marisa_trie
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.externals import six

class MarisaCountVectorizer(CountVectorizer):

    # ``CountVectorizer.fit`` method calls ``fit_transform`` so
    # ``fit`` is not provided
    def fit_transform(self, raw_documents, y=None):