file_path stringlengths 7 180 | content stringlengths 0 811k | repo stringclasses 11
values |
|---|---|---|
tests/tensor_core/ravel_index.cairo | // ===== 1D ===== //
#[cfg(test)]
mod tensor_1D {
use core::array::ArrayTrait;
use orion::operators::tensor::core::{ravel_index};
#[test]
#[available_gas(2000000)]
fn tensor_ravel_index() {
let mut shape = ArrayTrait::new();
shape.append(5);
let mut indices = ArrayTrait::ne... | https://github.com/gizatechxyz/orion |
tests/tensor_core/stride.cairo | mod stride_u32_test;
mod stride_i32_test;
mod stride_bool_test;
mod stride_fp_test;
| https://github.com/gizatechxyz/orion |
tests/tensor_core/stride/stride_bool_test.cairo | // ===== 1D ===== //
#[cfg(test)]
mod tensor_1D {
use core::array::ArrayTrait;
use orion::operators::tensor::{BoolTensor};
use orion::operators::tensor::core::{TensorTrait};
#[test]
#[available_gas(2000000)]
fn tensor_at() {
let mut sizes = ArrayTrait::new();
sizes.append(3);
... | https://github.com/gizatechxyz/orion |
tests/tensor_core/stride/stride_fp_test.cairo | mod stride_fp8x23_test;
mod stride_fp16x16_test;
| https://github.com/gizatechxyz/orion |
tests/tensor_core/stride/stride_fp_test/stride_fp16x16_test.cairo | // ===== 1D ===== //
#[cfg(test)]
mod tensor_1D {
use core::array::ArrayTrait;
use core::array::SpanTrait;
use orion::operators::tensor::implementations::tensor_fp16x16::FP16x16Tensor;
use orion::operators::tensor::core::{TensorTrait};
use orion::test_helper::tensor::fixed_point::fp16x16::fp_tenso... | https://github.com/gizatechxyz/orion |
tests/tensor_core/stride/stride_fp_test/stride_fp8x23_test.cairo | // ===== 1D ===== //
#[cfg(test)]
mod tensor_1D {
use core::array::ArrayTrait;
use core::array::SpanTrait;
use orion::operators::tensor::implementations::tensor_fp8x23::FP8x23Tensor;
use orion::operators::tensor::core::{TensorTrait};
use orion::test_helper::tensor::fixed_point::fp8x23::fp_tensor_1... | https://github.com/gizatechxyz/orion |
tests/tensor_core/stride/stride_i32_test.cairo | // ===== 1D ===== //
#[cfg(test)]
mod tensor_1D {
use core::array::ArrayTrait;
use core::array::SpanTrait;
use orion::operators::tensor::I32Tensor;
use orion::operators::tensor::core::{TensorTrait};
use orion::test_helper::tensor::i32::i32_tensor_1x3_helper;
#[test]
#[available_gas(20000... | https://github.com/gizatechxyz/orion |
tests/tensor_core/stride/stride_u32_test.cairo | // ===== 1D ===== //
#[cfg(test)]
mod tensor_1D {
use core::array::ArrayTrait;
use core::array::SpanTrait;
use orion::operators::tensor::U32Tensor;
use orion::operators::tensor::core::{TensorTrait};
use orion::test_helper::tensor::u32::u32_tensor_1x3_helper;
#[test]
#[available_gas(20000... | https://github.com/gizatechxyz/orion |
tests/tensor_core/unravel_index.cairo | // ===== 1D ===== //
#[cfg(test)]
mod tensor_1D {
use core::array::ArrayTrait;
use core::array::SpanTrait;
use orion::operators::tensor::core::{unravel_index};
#[test]
#[available_gas(2000000)]
fn tensor_unravel_index() {
let mut shape = ArrayTrait::new();
shape.append(5);
... | https://github.com/gizatechxyz/orion |
awesome-giza-agents/uni-v3-lp-agent/action_agent.py | import argparse
import os
import pprint
import numpy as np
from addresses import ADDRESSES
from dotenv import find_dotenv, load_dotenv
from giza_actions.action import action
from giza_actions.agent import AgentResult, GizaAgent
from giza_actions.task import task
from lp_tools import get_tick_range
from prefect import ... | https://github.com/gizatechxyz/Giza-Hub |
awesome-giza-agents/uni-v3-lp-agent/addresses.py | # source: https://docs.uniswap.org/contracts/v3/reference/deployments
ADDRESSES = {
"WETH": {
1: "0xc02aaa39b223fe8d0a0e5c4f27ead9083c756cc2",
11155111: "0xfFf9976782d46CC05630D1f6eBAb18b2324d6B14",
5: "0xB4FBF271143F4FBf7B91A5ded31805e42b2208d6",
42161: "0x82aF49447D8a07e3bd95BD0d56... | https://github.com/gizatechxyz/Giza-Hub |
awesome-giza-agents/uni-v3-lp-agent/get_tokens.py | import os
from addresses import ADDRESSES
from ape import Contract, accounts, chain, networks
from dotenv import find_dotenv, load_dotenv
load_dotenv(find_dotenv())
dev_passphrase = os.environ.get("DEV_PASSPHRASE")
sepolia_rpc_url = os.environ.get("SEPOLIA_RPC_URL")
if __name__ == "__main__":
networks.parse_net... | https://github.com/gizatechxyz/Giza-Hub |
awesome-giza-agents/uni-v3-lp-agent/lp_tools.py | import math
MIN_TICK = -887272
MAX_TICK = -MIN_TICK
TICKS_Q = 1.0001
Q96 = 2**96
MAX_UINT_128 = 2 ** (128) - 1
_tick_spacing = {100: 1, 500: 10, 3_000: 60, 10_000: 200}
# https://ethereum.stackexchange.com/questions/150280/calculate-amount-of-eth-and-usdc-after-minting-a-position-in-uniswap-v3
def price_to_tick(pri... | https://github.com/gizatechxyz/Giza-Hub |
awesome-giza-agents/uni-v3-lp-agent/model_training.py | import datetime
import numpy as np
import pandas as pd
import torch
import torch.nn as nn
import torch.optim as optim
import yfinance as yf
from sklearn.metrics import mean_squared_error as mse
def download_data():
uni_ticker = "UNI-USD"
eth_ticker = "ETH-USD"
start = datetime.datetime(2019, 1, 1)
en... | https://github.com/gizatechxyz/Giza-Hub |
awesome-giza-agents/uni-v3-lp-agent/uni_helpers.py | import os
import time
from ape.contracts.base import ContractInstance
from dotenv import find_dotenv, load_dotenv
from giza_actions.task import task
from lp_tools import MAX_UINT_128
load_dotenv(find_dotenv())
dev_passphrase = os.environ.get("DEV_PASSPHRASE")
sepolia_rpc_url = os.environ.get("SEPOLIA_RPC_URL")
@ta... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/basic/mnist_nn/QAT_MNIST_MLP.ipynb | {
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "04w3OowXkaQh"
},
"source": [
"# Build Your Neural Network In Cairo 1.0 with Orion\n",
"\n",
"Orion is a dedicated Cairo-based library designed specifically to build machine learning models for Vali... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/basic/mnist_nn/src/generated.cairo | mod input;
mod fc1_weights;
mod fc1_bias;
mod fc2_weights;
mod fc2_bias;
| https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/basic/mnist_nn/src/generated/fc1_bias.cairo | use array::ArrayTrait;
use orion::operators::tensor::{TensorTrait, Tensor, I32Tensor};
use orion::numbers::i32;
fn fc1_bias() -> Tensor<i32> {
let mut shape = ArrayTrait::<usize>::new();
shape.append(10);
let mut data = ArrayTrait::<i32>::new();
data.append(i32 { mag: 1287, sign: false });
data.ap... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/basic/mnist_nn/src/generated/fc1_weights.cairo | use array::ArrayTrait;
use orion::operators::tensor::{TensorTrait, Tensor, I32Tensor};
use orion::numbers::i32;
fn fc1_weights() -> Tensor<i32> {
let mut shape = ArrayTrait::<usize>::new();
shape.append(10);
shape.append(196);
let mut data = ArrayTrait::<i32>::new();
data.append(i32 { mag: 8, sign... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/basic/mnist_nn/src/generated/fc2_bias.cairo | use array::ArrayTrait;
use orion::operators::tensor::{TensorTrait, Tensor, I32Tensor};
use orion::numbers::i32;
fn fc2_bias() -> Tensor<i32> {
let mut shape = ArrayTrait::<usize>::new();
shape.append(10);
let mut data = ArrayTrait::<i32>::new();
data.append(i32 { mag: 313, sign: true });
data.appe... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/basic/mnist_nn/src/generated/fc2_weights.cairo | use array::ArrayTrait;
use orion::operators::tensor::{TensorTrait, Tensor, I32Tensor};
use orion::numbers::i32;
fn fc2_weights() -> Tensor<i32> {
let mut shape = ArrayTrait::<usize>::new();
shape.append(10);
shape.append(10);
let mut data = ArrayTrait::<i32>::new();
data.append(i32 { mag: 42, sign... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/basic/mnist_nn/src/generated/input.cairo | use array::ArrayTrait;
use orion::operators::tensor::{TensorTrait, Tensor, I32Tensor};
use orion::numbers::i32;
fn input() -> Tensor<i32> {
let mut shape = ArrayTrait::<usize>::new();
shape.append(196);
let mut data = ArrayTrait::<i32>::new();
data.append(i32 { mag: 0, sign: false });
data.append(... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/basic/mnist_nn/src/inference.cairo | // use orion::operators::tensor::core::TensorTrait;
// use core::array::{SpanTrait, ArrayTrait};
// use mnist_nn::nn::fc1;
// use mnist_nn::nn::fc2;
// use mnist_nn::generated::input::input;
// use mnist_nn::generated::fc1_bias::fc1_bias;
// use mnist_nn::generated::fc1_weights::fc1_weights;
// use mnist_nn::generate... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/basic/mnist_nn/src/lib.cairo | mod generated;
mod nn;
mod test;
mod inference; | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/basic/mnist_nn/src/nn.cairo | use orion::operators::tensor::core::Tensor;
use orion::numbers::signed_integer::{integer_trait::IntegerTrait, i32::i32};
use orion::operators::nn::{NNTrait, I32NN};
fn fc1(i: Tensor<i32>, w: Tensor<i32>, b: Tensor<i32>) -> Tensor<i32> {
let x = NNTrait::linear(i, w, b);
NNTrait::relu(@x)
}
fn fc2(i: Tensor<i3... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/basic/mnist_nn/src/test.cairo | use core::array::SpanTrait;
use mnist_nn::nn::fc1;
use mnist_nn::nn::fc2;
use mnist_nn::generated::input::input;
use mnist_nn::generated::fc1_bias::fc1_bias;
use mnist_nn::generated::fc1_weights::fc1_weights;
use mnist_nn::generated::fc2_bias::fc2_bias;
use mnist_nn::generated::fc2_weights::fc2_weights;
use orion::op... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/basic/verifiable_linear_regression_model/notebooks/fp16x16 to decimal converter.ipynb | {
"cells": [
{
"cell_type": "code",
"execution_count": 7,
"id": "c7d8c871",
"metadata": {},
"outputs": [],
"source": [
"def fp16x16_to_decimal(fp_number):\n",
" whole_number = (fp_number >> 16) & 0xFFFF\n",
" fractional_part = fp_number & 0xFFFF\n",
" decimal_va... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/basic/verifiable_linear_regression_model/notebooks/verifiable_simple_linear_regression_model.ipynb | {
"cells": [
{
"cell_type": "markdown",
"id": "4a28cde5",
"metadata": {},
"source": [
"# Verifiable Simple Linear Regression model\n",
"\n",
"Simple Linear Regression model is a foundational technique used to determine the linear relationship between an independent variables (predictors) and ... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/basic/verifiable_linear_regression_model/src/generated.cairo | mod X_values;
mod Y_values;
| https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/basic/verifiable_linear_regression_model/src/generated/X_values.cairo | use array::ArrayTrait;
use orion::operators::tensor::{FP16x16Tensor, TensorTrait, Tensor};
use orion::numbers::{FixedTrait, FP16x16, FP16x16Impl};
fn X_values() -> Tensor<FP16x16> {
let mut shape = ArrayTrait::new();
shape.append(150);
let mut data = ArrayTrait::new();
data.append(FixedTrait::new(32768... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/basic/verifiable_linear_regression_model/src/generated/Y_values.cairo | use array::ArrayTrait;
use orion::operators::tensor::{FP16x16Tensor, TensorTrait, Tensor};
use orion::numbers::{FixedTrait, FP16x16, FP16x16Impl};
fn Y_values() -> Tensor<FP16x16> {
let mut shape = ArrayTrait::new();
shape.append(150);
let mut data = ArrayTrait::new();
data.append(FixedTrait::new(26539... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/basic/verifiable_linear_regression_model/src/lib.cairo | mod generated;
mod test;
mod lin_reg_func; | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/basic/verifiable_linear_regression_model/src/lin_reg_func.cairo | use orion::operators::tensor::{Tensor, TensorTrait, FP16x16Tensor};
use orion::numbers::{FP16x16, FixedTrait};
/// Calculates the mean of a given 1D tensor.
fn calculate_mean(tensor_data: Tensor<FP16x16>) -> FP16x16 {
let tensor_size = FixedTrait::<FP16x16>::new_unscaled(tensor_data.data.len(), false);
... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/basic/verifiable_linear_regression_model/src/test.cairo | use debug::PrintTrait;
use verifiable_linear_regression::generated::X_values::X_values;
use verifiable_linear_regression::generated::Y_values::Y_values;
use verifiable_linear_regression::lin_reg_func::{
calculate_mean, deviation_from_mean, compute_beta, compute_intercept, predict_y_values,
compute_mse, c... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/basic/verifiable_principal_component_analysis/notebooks/pca_iris.ipynb | {
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# <span style='color:Black'> **Verifiable Principal Components Analysis** </span> "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\n",
"The Principal Component Analysis (PCA) method is an unsuper... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/basic/verifiable_principal_component_analysis/src/generated.cairo | mod X_std;
mod X;
mod y;
mod evalu_sort;
mod evec_sort;
| https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/basic/verifiable_principal_component_analysis/src/generated/X.cairo | use array::{ArrayTrait, SpanTrait};
use orion::operators::tensor::{core::{Tensor, TensorTrait}};
use orion::operators::tensor::FP16x16Tensor;
use orion::numbers::fixed_point::implementations::fp16x16::core::{FP16x16, FixedTrait};
fn X() -> Tensor<FP16x16> {
let mut shape = ArrayTrait::new();
shape.append(105);... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/basic/verifiable_principal_component_analysis/src/generated/X_std.cairo | use array::{ArrayTrait, SpanTrait};
use orion::operators::tensor::{core::{Tensor, TensorTrait}};
use orion::operators::tensor::FP16x16Tensor;
use orion::numbers::fixed_point::implementations::fp16x16::core::{FP16x16, FixedTrait};
fn X_std() -> Tensor<FP16x16> {
let mut shape = ArrayTrait::new();
shape.append(1... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/basic/verifiable_principal_component_analysis/src/generated/evalu_sort.cairo | use array::{ArrayTrait, SpanTrait};
use orion::operators::tensor::{core::{Tensor, TensorTrait}};
use orion::operators::tensor::FP16x16Tensor;
use orion::numbers::fixed_point::implementations::fp16x16::core::{FP16x16, FixedTrait};
fn evalu_sort() -> Tensor<FP16x16> {
let mut shape = ArrayTrait::new();
shape.app... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/basic/verifiable_principal_component_analysis/src/generated/evec_sort.cairo | use array::{ArrayTrait, SpanTrait};
use orion::operators::tensor::{core::{Tensor, TensorTrait}};
use orion::operators::tensor::FP16x16Tensor;
use orion::numbers::fixed_point::implementations::fp16x16::core::{FP16x16, FixedTrait};
fn evec_sort() -> Tensor<FP16x16> {
let mut shape = ArrayTrait::new();
shape.appe... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/basic/verifiable_principal_component_analysis/src/generated/y.cairo | use array::{ArrayTrait, SpanTrait};
use orion::operators::tensor::{core::{Tensor, TensorTrait}};
use orion::operators::tensor::FP16x16Tensor;
use orion::numbers::fixed_point::implementations::fp16x16::core::{FP16x16, FixedTrait};
fn y() -> Tensor<FP16x16> {
let mut shape = ArrayTrait::new();
shape.append(105);... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/basic/verifiable_principal_component_analysis/src/helper.cairo | use traits::TryInto;
use alexandria_data_structures::array_ext::{SpanTraitExt};
use array::{ArrayTrait, SpanTrait};
use orion::operators::tensor::{Tensor, TensorTrait};
use orion::numbers::fixed_point::{core::{FixedTrait}};
use orion::operators::tensor::{FP16x16Tensor, FP16x16TensorDiv};
use orion::numbers::fixed_poin... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/basic/verifiable_principal_component_analysis/src/lib.cairo | mod generated;
mod helper;
mod test;
| https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/basic/verifiable_principal_component_analysis/src/test.cairo | #[cfg(test)]
mod tests {
use traits::TryInto;
use alexandria_data_structures::array_ext::{SpanTraitExt};
use array::{ArrayTrait, SpanTrait};
use orion::operators::tensor::{Tensor, TensorTrait};
use orion::numbers::fixed_point::{core::{FixedTrait}};
use orion::operators::tensor::{FP16x16Tensor, ... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/basic/verifiable_support_vector_machine/notebooks/svm.ipynb | {
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# **Verifiable Support Vector Machine**"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The Support Vector Machines (SVM) model is a supervised learning technique used for classification and regression... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/basic/verifiable_support_vector_machine/src/generated.cairo | mod X_train;
mod Y_train;
mod X_test;
mod Y_test;
| https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/basic/verifiable_support_vector_machine/src/generated/X_test.cairo | use array::ArrayTrait;
use orion::operators::tensor::{Tensor, TensorTrait, FP16x16Tensor};
use orion::numbers::{FixedTrait, FP16x16, FP16x16Impl};
fn X_test() -> Tensor<FP16x16>{
let mut shape = ArrayTrait::new();
shape.append(50);
shape.append(3);
let mut data = ArrayTrait::new();data.append(FixedTrait::new(87946, f... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/basic/verifiable_support_vector_machine/src/generated/X_train.cairo | use array::ArrayTrait;
use orion::operators::tensor::{Tensor, TensorTrait, FP16x16Tensor};
use orion::numbers::{FixedTrait, FP16x16, FP16x16Impl};
fn X_train() -> Tensor<FP16x16>{
let mut shape = ArrayTrait::new();
shape.append(100);
shape.append(3);
let mut data = ArrayTrait::new();
data.append(FixedTrait::new(16561... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/basic/verifiable_support_vector_machine/src/generated/Y_test.cairo | use array::ArrayTrait;
use orion::operators::tensor::{Tensor, TensorTrait, FP16x16Tensor};
use orion::numbers::{FixedTrait, FP16x16, FP16x16Impl};
fn Y_test() -> Tensor<FP16x16>{
let mut shape = ArrayTrait::new();
shape.append(50);
let mut data = ArrayTrait::new();data.append(FixedTrait::new(65536, false));
data.appe... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/basic/verifiable_support_vector_machine/src/generated/Y_train.cairo | use array::ArrayTrait;
use orion::operators::tensor::{Tensor, TensorTrait, FP16x16Tensor};
use orion::numbers::{FixedTrait, FP16x16, FP16x16Impl};
fn Y_train() -> Tensor<FP16x16>{
let mut shape = ArrayTrait::new();
shape.append(100);
let mut data = ArrayTrait::new();data.append(FixedTrait::new(65536, false));
data.ap... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/basic/verifiable_support_vector_machine/src/helper.cairo | use debug::PrintTrait;
use traits::TryInto;
use array::{ArrayTrait, SpanTrait};
use orion::operators::tensor::{
Tensor, TensorTrait, FP16x16Tensor, FP16x16TensorAdd, FP16x16TensorMul, FP16x16TensorSub,
FP16x16TensorDiv
};
use orion::numbers::{FixedTrait, FP16x16, FP16x16Impl};
use orion::numbers::fixed_point::i... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/basic/verifiable_support_vector_machine/src/lib.cairo | mod generated;
mod train;
mod test;
mod helper;
| https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/basic/verifiable_support_vector_machine/src/test.cairo | use traits::TryInto;
use array::{ArrayTrait, SpanTrait};
use orion::operators::tensor::{
Tensor, TensorTrait, FP16x16Tensor, FP16x16TensorAdd, FP16x16TensorMul, FP16x16TensorSub,
FP16x16TensorDiv
};
use orion::numbers::{FixedTrait, FP16x16, FP16x16Impl};
use orion::numbers::fixed_point::implementations::fp16x16... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/basic/verifiable_support_vector_machine/src/train.cairo | use debug::PrintTrait;
use traits::TryInto;
use array::{ArrayTrait, SpanTrait};
use orion::operators::tensor::{
Tensor, TensorTrait, FP16x16Tensor, FP16x16TensorAdd, FP16x16TensorMul, FP16x16TensorSub,
FP16x16TensorDiv
};
use orion::numbers::{FixedTrait, FP16x16, FP16x16Impl};
use orion::numbers::fixed_point::i... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/finance/provable_multiple_linear_regression_solver/notebook_tutorials/Provable Linear Regression Solver (Linear Regression).ipynb | {
"cells": [
{
"cell_type": "markdown",
"id": "c4619365",
"metadata": {},
"source": [
"## Provable Linear Regression Solver"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "4d401fa3",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matpl... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/finance/provable_multiple_linear_regression_solver/notebook_tutorials/Provable Multiple Linear Regression (Boston Housing Value Estimation).ipynb | {
"cells": [
{
"cell_type": "markdown",
"id": "97bdc270",
"metadata": {},
"source": [
"# Import necessary libs & prepare dataset"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "ae4ed5fb",
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"im... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/finance/provable_multiple_linear_regression_solver/notebook_tutorials/Provable Multiple Linear Regression Solver (Forecasting AAVE Business metrics).ipynb | {
"cells": [
{
"cell_type": "markdown",
"id": "151a8d2d",
"metadata": {},
"source": [
" # Provable Multiple Linear Regression Solver\n",
" \n",
"For this particular tutorial, we will build a Multiple Linear Regression algorithm from scratch and use it to <b>forecast the projected the 7-day l... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/finance/provable_multiple_linear_regression_solver/notebook_tutorials/linear_regression/src/data_preprocessing.cairo |
use orion::operators::tensor::{
Tensor, TensorTrait, FP16x16Tensor, U32Tensor, U32TensorAdd, FP16x16TensorSub, FP16x16TensorAdd,
FP16x16TensorDiv, FP16x16TensorMul
};
use orion::numbers::{FP16x16, FixedTrait};
use linear_regresion::helper_functions::{
get_tensor_data_by_row, transpose_tensor, calculate_me... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/finance/provable_multiple_linear_regression_solver/notebook_tutorials/linear_regression/src/datasets.cairo | mod linear_data;
| https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/finance/provable_multiple_linear_regression_solver/notebook_tutorials/linear_regression/src/datasets/linear_data.cairo | mod x_feature_data;
mod y_label_data;
| https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/finance/provable_multiple_linear_regression_solver/notebook_tutorials/linear_regression/src/datasets/linear_data/x_feature_data.cairo | use array::ArrayTrait;
use orion::numbers::fixed_point::implementations::fp16x16::core::{FP16x16Impl, FP16x16PartialEq };
use orion::operators::tensor::{Tensor, TensorTrait, FP16x16Tensor};
use orion::numbers::{FP16x16, FixedTrait};
fn x_feature_data() -> Tensor<FP16x16> {
let tensor = TensorTrait::<FP16x16>::ne... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/finance/provable_multiple_linear_regression_solver/notebook_tutorials/linear_regression/src/datasets/linear_data/y_label_data.cairo | use array::ArrayTrait;
use orion::numbers::fixed_point::implementations::fp16x16::core::{FP16x16Impl, FP16x16PartialEq };
use orion::operators::tensor::{Tensor, TensorTrait, FP16x16Tensor};
use orion::numbers::{FP16x16, FixedTrait};
fn y_label_data() -> Tensor<FP16x16> {
let tensor = TensorTrait::<FP16x16>::new(... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/finance/provable_multiple_linear_regression_solver/notebook_tutorials/linear_regression/src/helper_functions.cairo |
use debug::PrintTrait;
use array::{ArrayTrait, SpanTrait};
use orion::operators::tensor::{
Tensor, TensorTrait, FP16x16Tensor, U32Tensor, U32TensorAdd, FP16x16TensorSub, FP16x16TensorAdd,
FP16x16TensorDiv, FP16x16TensorMul
};
use orion::numbers::{FP16x16, FixedTrait};
// retrieves row data by index in a 2D ... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/finance/provable_multiple_linear_regression_solver/notebook_tutorials/linear_regression/src/lib.cairo | mod test;
mod data_preprocessing;
mod helper_functions;
mod datasets;
mod model; | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/finance/provable_multiple_linear_regression_solver/notebook_tutorials/linear_regression/src/model.cairo | mod linear_regression_model;
| https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/finance/provable_multiple_linear_regression_solver/notebook_tutorials/linear_regression/src/model/linear_regression_model.cairo |
use orion::operators::tensor::{
Tensor, TensorTrait, FP16x16Tensor, U32Tensor, U32TensorAdd, FP16x16TensorSub, FP16x16TensorAdd,
FP16x16TensorDiv, FP16x16TensorMul
};
use orion::numbers::{FP16x16, FixedTrait};
use linear_regresion::data_preprocessing::{Dataset, DatasetTrait};
use linear_regresion::helper_funct... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/finance/provable_multiple_linear_regression_solver/notebook_tutorials/linear_regression/src/test.cairo | // use traits::Into;
use debug::PrintTrait;
use array::{ArrayTrait, SpanTrait};
use linear_regresion::datasets::linear_data::x_feature_data::x_feature_data;
use linear_regresion::datasets::linear_data::y_label_data::y_label_data;
use orion::numbers::{FP16x16, FixedTrait};
use linear_regresion::model::linear_regres... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/finance/provable_multiple_linear_regression_solver/notebook_tutorials/multiple_linear_regression_aave/src/data_preprocessing.cairo |
use orion::operators::tensor::{
Tensor, TensorTrait, FP16x16Tensor, U32Tensor, U32TensorAdd, FP16x16TensorSub, FP16x16TensorAdd,
FP16x16TensorDiv, FP16x16TensorMul
};
use orion::numbers::{FP16x16, FixedTrait};
use multiple_linear_regresion::helper_functions::{
get_tensor_data_by_row, transpose_tensor, calc... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/finance/provable_multiple_linear_regression_solver/notebook_tutorials/multiple_linear_regression_aave/src/datasets.cairo | mod aave_data;
mod user_inputs_data;
| https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/finance/provable_multiple_linear_regression_solver/notebook_tutorials/multiple_linear_regression_aave/src/datasets/aave_data.cairo | mod aave_x_features;
mod aave_y_labels;
| https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/finance/provable_multiple_linear_regression_solver/notebook_tutorials/multiple_linear_regression_aave/src/datasets/aave_data/aave_x_features.cairo | use array::ArrayTrait;
use orion::numbers::fixed_point::implementations::fp16x16::core::{FP16x16Impl, FP16x16PartialEq };
use orion::operators::tensor::{Tensor, TensorTrait, FP16x16Tensor};
use orion::numbers::{FP16x16, FixedTrait};
fn aave_x_features() -> Tensor<FP16x16> {
let tensor = TensorTrait::<FP16x16>::n... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/finance/provable_multiple_linear_regression_solver/notebook_tutorials/multiple_linear_regression_aave/src/datasets/aave_data/aave_y_labels.cairo | use array::ArrayTrait;
use orion::numbers::fixed_point::implementations::fp16x16::core::{FP16x16Impl, FP16x16PartialEq };
use orion::operators::tensor::{Tensor, TensorTrait, FP16x16Tensor};
use orion::numbers::{FP16x16, FixedTrait};
fn aave_y_labels() -> Tensor<FP16x16> {
let tensor = TensorTrait::<FP16x16>::new... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/finance/provable_multiple_linear_regression_solver/notebook_tutorials/multiple_linear_regression_aave/src/datasets/user_inputs_data.cairo | mod aave_weth_revenue_data_input;
| https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/finance/provable_multiple_linear_regression_solver/notebook_tutorials/multiple_linear_regression_aave/src/datasets/user_inputs_data/aave_weth_revenue_data_input.cairo | use array::ArrayTrait;
use orion::numbers::fixed_point::implementations::fp16x16::core::{FP16x16Impl, FP16x16PartialEq };
use orion::operators::tensor::{Tensor, TensorTrait, FP16x16Tensor};
use orion::numbers::{FP16x16, FixedTrait};
fn aave_weth_revenue_data_input() -> Tensor<FP16x16> {
let tensor = TensorTrait:... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/finance/provable_multiple_linear_regression_solver/notebook_tutorials/multiple_linear_regression_aave/src/helper_functions.cairo |
use debug::PrintTrait;
use array::{ArrayTrait, SpanTrait};
use orion::operators::tensor::{
Tensor, TensorTrait, FP16x16Tensor, U32Tensor, U32TensorAdd, FP16x16TensorSub, FP16x16TensorAdd,
FP16x16TensorDiv, FP16x16TensorMul
};
use orion::numbers::{FP16x16, FixedTrait};
// retrieves row data by index in a 2D t... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/finance/provable_multiple_linear_regression_solver/notebook_tutorials/multiple_linear_regression_aave/src/lib.cairo | mod test;
mod data_preprocessing;
mod helper_functions;
mod datasets;
mod model; | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/finance/provable_multiple_linear_regression_solver/notebook_tutorials/multiple_linear_regression_aave/src/model.cairo | mod multiple_linear_regression_model;
| https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/finance/provable_multiple_linear_regression_solver/notebook_tutorials/multiple_linear_regression_aave/src/model/multiple_linear_regression_model.cairo |
use orion::operators::tensor::{
Tensor, TensorTrait, FP16x16Tensor, U32Tensor, U32TensorAdd, FP16x16TensorSub, FP16x16TensorAdd,
FP16x16TensorDiv, FP16x16TensorMul
};
use orion::numbers::{FP16x16, FixedTrait};
use multiple_linear_regresion::data_preprocessing::{Dataset, DatasetTrait};
use multiple_linear_regre... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/finance/provable_multiple_linear_regression_solver/notebook_tutorials/multiple_linear_regression_aave/src/test.cairo |
// use traits::Into;
use debug::PrintTrait;
use array::{ArrayTrait, SpanTrait};
use multiple_linear_regresion::datasets::aave_data::aave_x_features::aave_x_features;
use multiple_linear_regresion::datasets::aave_data::aave_y_labels::aave_y_labels;
use multiple_linear_regresion::datasets::user_inputs_data::aave_wet... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/finance/provable_multiple_linear_regression_solver/notebook_tutorials/multiple_linear_regression_boston/src/data_preprocessing.cairo |
use orion::operators::tensor::{
Tensor, TensorTrait, FP16x16Tensor, U32Tensor, U32TensorAdd, FP16x16TensorSub, FP16x16TensorAdd,
FP16x16TensorDiv, FP16x16TensorMul
};
use orion::numbers::{FP16x16, FixedTrait};
use multiple_linear_regresion::helper_functions::{
get_tensor_data_by_row, transpose_tensor, calc... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/finance/provable_multiple_linear_regression_solver/notebook_tutorials/multiple_linear_regression_boston/src/datasets.cairo | mod boston_data;
mod user_inputs_data;
| https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/finance/provable_multiple_linear_regression_solver/notebook_tutorials/multiple_linear_regression_boston/src/datasets/boston_data.cairo | mod boston_x_features;
mod boston_y_labels;
| https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/finance/provable_multiple_linear_regression_solver/notebook_tutorials/multiple_linear_regression_boston/src/datasets/boston_data/boston_x_features.cairo | use array::ArrayTrait;
use orion::numbers::fixed_point::implementations::fp16x16::core::{FP16x16Impl, FP16x16PartialEq };
use orion::operators::tensor::{Tensor, TensorTrait, FP16x16Tensor};
use orion::numbers::{FP16x16, FixedTrait};
fn boston_x_features() -> Tensor<FP16x16> {
let tensor = TensorTrait::<FP16x16>:... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/finance/provable_multiple_linear_regression_solver/notebook_tutorials/multiple_linear_regression_boston/src/datasets/boston_data/boston_y_labels.cairo | use array::ArrayTrait;
use orion::numbers::fixed_point::implementations::fp16x16::core::{FP16x16Impl, FP16x16PartialEq };
use orion::operators::tensor::{Tensor, TensorTrait, FP16x16Tensor};
use orion::numbers::{FP16x16, FixedTrait};
fn boston_y_labels() -> Tensor<FP16x16> {
let tensor = TensorTrait::<FP16x16>::n... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/finance/provable_multiple_linear_regression_solver/notebook_tutorials/multiple_linear_regression_boston/src/datasets/user_inputs_data.cairo | mod user_inputs_boston_data;
| https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/finance/provable_multiple_linear_regression_solver/notebook_tutorials/multiple_linear_regression_boston/src/datasets/user_inputs_data/user_inputs_boston_data.cairo | use array::ArrayTrait;
use orion::numbers::fixed_point::implementations::fp16x16::core::{FP16x16Impl, FP16x16PartialEq };
use orion::operators::tensor::{Tensor, TensorTrait, FP16x16Tensor};
use orion::numbers::{FP16x16, FixedTrait};
fn user_inputs_boston_data() -> Tensor<FP16x16> {
let tensor = TensorTrait::<FP1... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/finance/provable_multiple_linear_regression_solver/notebook_tutorials/multiple_linear_regression_boston/src/helper_functions.cairo |
use debug::PrintTrait;
use array::{ArrayTrait, SpanTrait};
use orion::operators::tensor::{
Tensor, TensorTrait, FP16x16Tensor, U32Tensor, U32TensorAdd, FP16x16TensorSub, FP16x16TensorAdd,
FP16x16TensorDiv, FP16x16TensorMul
};
use orion::numbers::{FP16x16, FixedTrait};
// retrieves row data by index in a 2D t... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/finance/provable_multiple_linear_regression_solver/notebook_tutorials/multiple_linear_regression_boston/src/lib.cairo | mod test;
mod data_preprocessing;
mod helper_functions;
mod datasets;
mod model; | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/finance/provable_multiple_linear_regression_solver/notebook_tutorials/multiple_linear_regression_boston/src/model.cairo | mod multiple_linear_regression_model;
| https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/finance/provable_multiple_linear_regression_solver/notebook_tutorials/multiple_linear_regression_boston/src/model/multiple_linear_regression_model.cairo |
use orion::operators::tensor::{
Tensor, TensorTrait, FP16x16Tensor, U32Tensor, U32TensorAdd, FP16x16TensorSub, FP16x16TensorAdd,
FP16x16TensorDiv, FP16x16TensorMul
};
use orion::numbers::{FP16x16, FixedTrait};
use multiple_linear_regresion::data_preprocessing::{Dataset, DatasetTrait};
use multiple_linear_regre... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/finance/provable_multiple_linear_regression_solver/notebook_tutorials/multiple_linear_regression_boston/src/test.cairo |
// use traits::Into;
use debug::PrintTrait;
use array::{ArrayTrait, SpanTrait};
use multiple_linear_regresion::datasets::boston_data::boston_x_features::boston_x_features;
use multiple_linear_regresion::datasets::boston_data::boston_y_labels::boston_y_labels;
use multiple_linear_regresion::datasets::user_inputs_data... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/finance/provable_multiple_linear_regression_solver/src/data_preprocessing.cairo | use orion::operators::tensor::{
Tensor, TensorTrait, FP16x16Tensor, U32Tensor, U32TensorAdd, FP16x16TensorSub, FP16x16TensorAdd,
FP16x16TensorDiv, FP16x16TensorMul
};
use orion::numbers::{FP16x16, FixedTrait};
use multiple_linear_regresion::helper_functions::{
get_tensor_data_by_row, transpose_tensor, calcu... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/finance/provable_multiple_linear_regression_solver/src/datasets.cairo | mod aave_data;
mod boston_data;
mod linear_data;
mod user_inputs_data;
| https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/finance/provable_multiple_linear_regression_solver/src/datasets/aave_data.cairo | mod aave_x_features;
mod aave_y_labels;
| https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/finance/provable_multiple_linear_regression_solver/src/datasets/aave_data/aave_x_features.cairo | use array::ArrayTrait;
use orion::numbers::fixed_point::implementations::fp16x16::core::{FP16x16Impl, FP16x16PartialEq};
use orion::operators::tensor::{Tensor, TensorTrait, FP16x16Tensor};
use orion::numbers::{FP16x16, FixedTrait};
fn aave_x_features() -> Tensor<FP16x16> {
let tensor = TensorTrait::<
FP16x... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/finance/provable_multiple_linear_regression_solver/src/datasets/aave_data/aave_y_labels.cairo | use array::ArrayTrait;
use orion::numbers::fixed_point::implementations::fp16x16::core::{FP16x16Impl, FP16x16PartialEq};
use orion::operators::tensor::{Tensor, TensorTrait, FP16x16Tensor};
use orion::numbers::{FP16x16, FixedTrait};
fn aave_y_labels() -> Tensor<FP16x16> {
let tensor = TensorTrait::<
FP16x16... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/finance/provable_multiple_linear_regression_solver/src/datasets/boston_data.cairo | mod boston_x_features;
mod boston_y_labels;
| https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/finance/provable_multiple_linear_regression_solver/src/datasets/boston_data/boston_x_features.cairo | use array::ArrayTrait;
use orion::numbers::fixed_point::implementations::fp16x16::core::{FP16x16Impl, FP16x16PartialEq};
use orion::operators::tensor::{Tensor, TensorTrait, FP16x16Tensor};
use orion::numbers::{FP16x16, FixedTrait};
fn boston_x_features() -> Tensor<FP16x16> {
let tensor = TensorTrait::<
FP1... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/finance/provable_multiple_linear_regression_solver/src/datasets/boston_data/boston_y_labels.cairo | use array::ArrayTrait;
use orion::numbers::fixed_point::implementations::fp16x16::core::{FP16x16Impl, FP16x16PartialEq};
use orion::operators::tensor::{Tensor, TensorTrait, FP16x16Tensor};
use orion::numbers::{FP16x16, FixedTrait};
fn boston_y_labels() -> Tensor<FP16x16> {
let tensor = TensorTrait::<
FP16x... | https://github.com/gizatechxyz/Giza-Hub |
awesome-orion/finance/provable_multiple_linear_regression_solver/src/datasets/linear_data.cairo | mod feature_data;
mod label_data;
| https://github.com/gizatechxyz/Giza-Hub |
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