Warning!!! This project will take a long time. Expect to spend at least 30 hours on it. Component Restrictions For all problems in this homework, you may only use ¡ñ All of the components under Wiring ¡ñ All of the components under Gates EXCEPT for Controlled Buffer, Controlled Inverter, ¡ñ All of the components under […]
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# 600086-Lab-G In this lab we’re going to extend our particle system developed in Lab-F, to add in a collision counter. ## Q1. Colliding particles Make a copy of your `particle_threaded` project and name it `colliding_particle_threaded` Create a new function `collide()` that checks if a particle collides with (or is very close to) another particle.
Assignment 4: Transformer Language Modeling Due Date: March 30th (Thursday) 11:59 CST Academic Honesty: Please see the course syllabus for information about collaboration in this course. While you may discuss the assignment with other students, all work you submit must be your own! You should not use AI helpers to complete this homework. Goals The
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# transformer.py import time import torch import torch.nn as nn import numpy as np import random from torch import optim import matplotlib.pyplot as plt from typing import List from utils import * # Wraps an example: stores the raw input string (input), the indexed form of the string (input_indexed), # a tensorized version of that
# models.py import numpy as np class LanguageModel(object): def get_next_char_log_probs(self, context) -> np.ndarray: Returns a log probability distribution over the next characters given a context. The log should be base e NOTE: You should make sure you call model.eval() to determinize inference here (turns off dropout layers in TransformerEncoder). :param context: the string context that
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COMP3400 Assignment 1 Written Paul Vrbik March 5, 2023 Lambda Calculus We can encode boolean logic in lambda calculus as follows: True = λx.(λy.x) False = λx.(λy.y) And = λp.(λq.(pq)p) Or = λp.(λq.(pp)q) Question 1. [1 mark] Give the λ-expression for NOT that takes True to False and vice-versa. Your solution should be in its
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The Australian National University School of Computing Semester 1, 2023 Assignment 1 Weight: 18% COMP4670/8600: Statistical Machine Learning Release Date. 27th Feburary 2023. Due Date. 27th March 2023 at 1200 AEDT. Maximum credit. 100 Marks for COMP4670 and 120 Marks for COMP8600. For submission, we are using Ed. Check under the submission tab and make
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EXECUTIVE SUMMARY Engineers need to write technical reports to communicate their work and provide recommendations on what should happen next. These reports should have a consistent and clear structure, and should be accurate and precise in order to effectively convey the message and avoid confusion for readers. This report writing guide is intended to help
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UNSW COMP6451 Assignment 2 (version 2)∗ Ethereum Programming (ERC-20 Token Dutch Auction Market) Total Marks: 35 Due Date: 5pm, March 31, 2023 ©R. van der Meyden, UNSW. All rights reserved. (Distribution to third parties and/or placement on non-UNSW websites prohibited.) Background A variety of schemes are used to sell goods in such a way as
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Spring 2023 – CSEE 4119 Computer Networks Programming Assignment 1 – Simple Chat Application Prof. Gil Zussman due: 03/23/2023, 23:59PM, EST 1 Introduction The objective of this programming assignment is to implement a simple chat application with at least 4 clients and a server using UDP. You are asked to create one program. The program
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