toma's Projects
labs from 6.009 (spring)
Reproduce CKA: Similarity of Neural Network Representations Revisited
A compiler for the course Compiler 2017 at ACM Class, SJTU.
:mortar_board: Path to a free self-taught education in Computer Science!
Stanford CS110L: Safety in Systems Programming
CS 179 GPU Programming 2019
AI Pacman, CS188 2019 summer version (Completed), original website:
My assignments for Stanford CS231n in Spring 2021(Finished)
CS289A -- Machine Learning, UC Berkeley, Spring 2019
Deep-GUI is a tool for generating intelligent inputs to test UI-based applications, such as Android or web applications.
Exercises from https://softwarefoundations.cis.upenn.edu/lf-current/index.html
A lox interpreter based on Java
Course Materials for CS 3110 Spring 2020
ๅฎ็ฐไบMiniDecafๅฐRISC-Vๆฑ็ผ่ฏญ่จ็็ผ่ฏ็จๅบ๏ผๅ
ถไธญMiniDecafๆฏไธไธชC็ๅญ้๏ผๅปๆไบๅฆinclude/define/ๅคๆไปถ/struct็ญ็นๆงใ
Codebase of the MSc thesis by Ruben Grewal "Uncertainty Quantification for Failure Prediction in Autonomous Driving Systems" and replication package of the paper "Predicting Safety Misbehaviours in Autonomous Driving Systems using Uncertainty Quantification" (ICST 2024).
MIT-6.824-spring2021, lab implmentations , includes lab 2A 2B 2C 2D 3A 3B 4A 4B
4 labs + 2 challenges + 4 docs
Machine learning, in numpy
My awesome GitHub profile README with 36 stars and 66 forks.
Repository of notes, code and notebooks for the book Pattern Recognition and Machine Learning by Christopher Bishop
Tensors and Dynamic neural networks in Python with strong GPU acceleration
A PyTorch implementation of D-RISE
Source Code of and Supporting Files for a Paper Published at SEKE 2015