Siddharth Joshi's repositories
sas-data-efficient-contrastive-learning
Official Code for ICML 2023 Data-Efficient Contrastive Self-supervised Learning
hierarchical-darts-neural-architecture-search
Repository for our work for CS 269 Research Seminar on Efficient Machine Learning taught by Professor Baharan Mirzasoleiman. This is a research project that explores the topic of neural architecture search.
mkdt-data-distill-ssl
Official repository for "Dataset Distillation via Knowledge Distillation: Towards Efficient Self-Supervised Pre-training of Deep Networks" which presents the method MKDT.
virtual-career-fair
CS 130 Project Fall 2020 - Virtual Career Fair
CS-267A-Final-Project
CS 267A Project - Reinforcement Learning as Inference with Dice using Pycolab's Game Engine
sjoshi804.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
beta-vae
A Pytorch Implementation of the Beta-VAE
cardiac
Repository for collaboration with UCLA Cardiac
CS-239-Quantum-Computation-Spring-2020
A repository for my code for CS 239 Quantum Computation taken in Spring 2020 with Professor Jans Palsberg.
cs260d-project
Investigating whether data subsets determined using pruned models can be transferred to the unpruned model.
darts
Differentiable architecture search for convolutional and recurrent networks
DCL
Fork of DCL (NIPS 2020)
Jarvis
Personalized virtual assistant
lucent
Lucid library adapted for PyTorch
MERN-stack-boilerplate
A template repository for creating the scaffolding for a Mongo Express React Node web app.
neural_network_experiments
Collection of experiments to understand properties of neural networks
pt.darts
PyTorch Implementation of DARTS: Differentiable Architecture Search
reaction-time-experiment-reactjs
A repository for the reaction time experiment for my group's UCLA Physics 4AL Project
Triage-for-Mental-Health
A repository for MS Intern Hack for Good 2020.
UCLA-CS-188-Computer-Vision
A repository for all my work for Fall 2019's offering of CS 188 - Computer Vision with Professor Fabien Scalzo