Aatif Jiwani's Projects
github profile README :D
my personal website
Training 3D Convolutional Network on Sports1M Dataset to use its weights for feature extraction in other models. Referenced "Learning Spatiotemporal Features with 3D Convolutional Networks" by Tran et al.
This is a chatbot I created during my 2019 internship powered by Microsoft's Bot SDK and LUIS.AI. Repo also contains React app that serves as the client-facing UI to interact with the chatbot.
Assignments/Projects that I've completed throughout the Stanford Machine Learning Course taught by Professor Andrew Ng
NP-Hard problem solver to find an efficient solution to the following prompt: Given a graph of vertices and denoted starting and home locations, find the minimum cost path of driving from start->start and dropping off people at the closest location.
assignments completed in CS182-Deep Neural Nets during Spring 2020 at UC Berkeley
projects i've worked on when I took CS 188: Intro to AI at UC Berkeley
projects from CS 189: Machine Learning at UC Berkeley. Please read the README for more information.
Complete collection of work from CS61A taken in Fall 2017
Probabilistic time series modeling in Python
DMR Identification Tool
Physically-based renderer that can generates artificial lens flares based on the light sources in a 3D model.
A library that translates Python and NumPy to optimized distributed systems code.
nxtBook is a native iOS mobile app that allows students to engage in peer to peer textbook exchange instead of using Facebook and other general e-commerce sites.
Numpy/Scipy implementation of the (fast) Guided Filter
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
Code that was submitted for the National FBLA Leadership Conference
A Semantic Segmentation Network for Urban-Scale Building Footprint Extraction Using RGB Satellite Imagery
[VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.
2018 Viget Internship Blog
A Hacker News clone created in Rails as an introductory immersion into the world of web frameworks.
This repository is meant to hold iOS development projects I've completed during my time as a Rails Development intern at Viget
A Rails application that allows a community of users to vote between choices.
A yelp rating predictor built using NLP models to predict the star rating of a written review.