e-p-armstrong

# Machine Intelligence Made to Impersonate Characteristics: MIMIC

# NOTE run this $ conda install -c conda-forge mpi4py mpich to get mpi working
# accelerate launch --use_deepspeed -m axolotl.cli.train ./config_name_here
base_model: alpindale/Mistral-7B-v0.2-hf
base_model_config: alpindale/Mistral-7B-v0.2-hf
model_type: MistralForCausalLM
tokenizer_type: LlamaTokenizer
is_mistral_derived_model: true

koreyou

""" Implementation of OKapi BM25 with sklearn's TfidfVectorizer
Distributed as CC-0 (https://creativecommons.org/publicdomain/zero/1.0/)
"""

import numpy as np
from sklearn.feature_extraction.text import TfidfVectorizer
from scipy import sparse


class BM25(object):

Kautenja

"""An implementation of the Intersection over Union (IoU) metric for Keras."""
from keras import backend as K


def iou(y_true, y_pred, label: int):
    """
    Return the Intersection over Union (IoU) for a given label.

    Args:
        y_true: the expected y values as a one-hot

jeremyjordan

from keras.callbacks import Callback
import keras.backend as K
import numpy as np

class SGDRScheduler(Callback):
    '''Cosine annealing learning rate scheduler with periodic restarts.

    # Usage
        ```python
            schedule = SGDRScheduler(min_lr=1e-5,

geohot

def ransac_polyfit(x, y, order=3, n=20, k=100, t=0.1, d=100, f=0.8):
  # Thanks https://en.wikipedia.org/wiki/Random_sample_consensus
  
  # n – minimum number of data points required to fit the model
  # k – maximum number of iterations allowed in the algorithm
  # t – threshold value to determine when a data point fits a model
  # d – number of close data points required to assert that a model fits well to data
  # f – fraction of close data points required
  
  besterr = np.inf

eliangcs

How I Created HTTP Prompt and Got 5000+ Stars on GitHub

Two months ago, I published an open source project, which went viral by gaining 1200+ stars in the first 24 hours. As of this writing, it has attracted 5000+ stars. The project is called HTTP Prompt:

https://github.com/eliangcs/http-prompt

Here I want to share its development story.

It all began with Vertica. Not long ago, I used Vertica every day for my work. Vertica is a powerful database, but the official client (vsql) is not powerful at all. The GUI alternative, DbVisualizer, is bad as well.

chen-fishbein

        Form hi = new Form("Circle Progress");
        hi.setLayout(new BoxLayout(BoxLayout.Y_AXIS));
        final CircleProgress p = new CircleProgress();
        p.setProgress(100);
        p.setClockwise(true);
        p.setStartAngle(CircleProgress.START_9_OCLOCK);
        hi.add(p);
        
        final ArcProgress p2 = new ArcProgress();
        p2.setProgress(70);

s-leroux

var mongoose = require('mongoose');
var url = 'mongodb://localhost:27017/conFusion';
mongoose.connect(url);
var db = mongoose.connection;

var assert = require('assert');

var Dishes = require('../models/dishes');
var Promotions = require('../models/promotions');
var Leaders = require('../models/leadership');

evantoli

Configure Git to use a proxy

In Brief

You may need to configure a proxy server if you're having trouble cloning or fetching from a remote repository or getting an error like unable to access '...' Couldn't resolve host '...'.

Consider something like:

sangeeths

Go to Bitbucket and create a new repository (its better to have an empty repo)
    git clone git@bitbucket.org:abc/myforkedrepo.git
    cd myforkedrepo

Now add Github repo as a new remote in Bitbucket called "sync"
    git remote add sync git@github.com:def/originalrepo.git

Verify what are the remotes currently being setup for "myforkedrepo". This following command should show "fetch" and "push" for two remotes i.e. "origin" and "sync"
    git remote -v