SETUP:
Install nim
REPO_PATH=$HOME/repos
cd $REPO_PATH
git clone git@github.com:nim-lang/Nim.git
cd Nim
./build_all.sh
SETUP:
Install nim
REPO_PATH=$HOME/repos
cd $REPO_PATH
git clone git@github.com:nim-lang/Nim.git
cd Nim
./build_all.sh
gradio | |
torch | |
git+https://github.com/facebookresearch/segment-anything.git | |
git+https://github.com/openai/CLIP.git | |
opencv-python |
from keras.utils import plot_model | |
from keras.models import Model | |
from keras.layers import Input, Dense, concatenate | |
def create_inner_model(): | |
input=Input((10,)) | |
d1 = Dense(128)(input) | |
d2 = Dense(64)(d1) |
#include <iostream> | |
#include <tuple> | |
template<template <typename T> class X> | |
struct Wrap | |
{ | |
template <typename T, typename... Args> | |
struct Deducer | |
{ | |
typedef decltype(std::tuple_cat(std::tuple<X<T>>(), typename Deducer<Args...>::tuple())) tuple; |
#include <iostream> | |
#include <algorithm> | |
#include <vector> | |
#include <array> | |
template <typename RandomIt> | |
void insertion_sort(RandomIt begin, RandomIt end) | |
{ | |
// loop through all the elements, from | |
// the the second element to the last. |
#include <chrono> | |
#include <cstdint> | |
#include <iostream> | |
#include <random> | |
#include <sstream> | |
using namespace std; | |
typedef std::chrono::microseconds time_unit; | |
static const std::string time_unit_suffix{"us"}; |
#include <iostream> | |
#include <vector> | |
#include <list> | |
#include <cstdlib> | |
#include <algorithm> | |
#include <functional> | |
#include <chrono> | |
int entries = 10000; |
import random | |
HEADS = 0 | |
TAILS = 1 | |
n = input("How many samples do you wish to compute?: ") | |
p = random.random() | |
print "probability of getting heads is:", p |
struct ogl_backend | |
{ | |
typedef unsigned texture_handle_type; | |
void load(texture_handle_type& texture, const Image& image) | |
{ | |
std::cout << "loading, " << image.id << '\n'; | |
} | |
void destroy(texture_handle_type& texture) |