leddoo

// a very minimal instruction set.
// it has just enough operations to implement a recursive
// fibonacci function - what a coincidence :D
// NOTE: in my VM, i don't use an `enum`.
//  this is just for simplicity.
#[derive(Clone, Copy, Debug)]
enum Instruction {
    LoadInt     { dst: u8, value: i16 },
    Copy        { dst: u8, src: u8 },
    Add         { dst: u8, src1: u8, src2: u8 },

swati210994

bogdan-kulynych

# WARNING: These steps seem to not work anymore!

#!/bin/bash

# Purge existign CUDA first
sudo apt --purge remove "cublas*" "cuda*"
sudo apt --purge remove "nvidia*"

# Install CUDA Toolkit 10
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-repo-ubuntu1804_10.0.130-1_amd64.deb

goldsborough

#include <cudnn.h>
#include <cassert>
#include <cstdlib>
#include <iostream>
#include <opencv2/opencv.hpp>

#define checkCUDNN(expression)                               \
  {                                                          \
    cudnnStatus_t status = (expression);                     \
    if (status != CUDNN_STATUS_SUCCESS) {                    \

twiecki

jaanli

"""Use black-box variational inference (https://arxiv.org/abs/1401.0118) to
fit Bayesian linear regression (https://en.wikipedia.org/wiki/Bayesian_linear_regression) 
and ensure it gets the analytic posterior mean from wikipedia.
"""

import numpy as np
import scipy.stats

def generate_data(cfg):
  """synthetic data:

siemanko

"""Short and sweet LSTM implementation in Tensorflow.

Motivation:
When Tensorflow was released, adding RNNs was a bit of a hack - it required
building separate graphs for every number of timesteps and was a bit obscure
to use. Since then TF devs added things like `dynamic_rnn`, `scan` and `map_fn`.
Currently the APIs are decent, but all the tutorials that I am aware of are not
making the best use of the new APIs.

Advantages of this implementation:

twiecki

parmentf

Inspired by dannyfritz/commit-message-emoji

See also gitmoji.

Commit type	Emoji
Initial commit	🎉 :tada:
Version tag	🔖 :bookmark:
New feature	✨ :sparkles:
Bugfix	🐛 :bug:

danoneata

class Expr(object):
    def accept(self, visitor):
        method_name = 'visit_{}'.format(self.__class__.__name__.lower())
        visit = getattr(visitor, method_name)
        return visit(self)


class Int(Expr):
    def __init__(self, value):
        self.value = value