saliAlavi's starred repositories
DataScienceCourse
This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.
NYU-DLSP20
NYU Deep Learning Spring 2020
CustomComputeShaders
The minimal source code for adding and using a custom compute shader in Unreal Engine 4
ubisoft-laforge-animation-dataset
Ubisoft La Forge - Animation Dataset
AI4Animation
Bringing Characters to Life with Computer Brains in Unity
UE4_MotionMatching-
Early Implementation of Motion Matching tech
rapids-single-cell-examples
Examples of single-cell genomic analysis accelerated with RAPIDS
graph_nets
Build Graph Nets in Tensorflow
rembg-greenscreen
Rembg Video Virtual Green Screen Edition
UCSD_Data_Mining_Certificate
Modern databases can contain massive volumes of data. Within this data lies important information that can only be effectively analyzed using data mining. Data mining tools and techniques can be used to predict future trends and behaviors, allowing individuals and organizations to make proactive, knowledge-driven decisions. This expanded Data Mining for Advanced Analytics certificate provides individuals with the skills necessary to design, build, verify, and test predictive data models. Newly updated with added data sets, a robust practicum course, a survey of popular data mining tools, and additional algorithms, this program equips students with the skills to make data-driven decisions in any industry. Students begin by learning foundational data analysis and machine learning techniques for model and knowledge creation. Then students take a deep-dive into the crucial step of cleaning, filtering, and preparing the data for mining and predictive or descriptive modeling. Building upon the skills learned in the previous courses, students will then learn advanced models, machine learning algorithms, methods, and applications. In the practicum course, students will use real-life data sets from various industries to complete data mining projects, planning and executing all the steps of data preparation, analysis, learning and modeling, and identifying the predictive/descriptive model that produces the best evaluation scores. Electives allow students to learn further high-demand techniques, tools, and languages.
PhotoModeFX
PhotoModeFX for Unreal Engine 4. A complete, generic, unobtrusive, easy-to-use in game photographic system (PhotoMode) for Unreal Engine 4. Featuring HighResolution, Panoramic 360, Stereoscopic VR, Cubemap, 3DPhoto captures.
ML-auto-baseball-pitching-overlay
⚾🤖⚾ Automatic baseball pitching overlay in realtime
from_fourier_to_koopman
Linear and non-linear spectral forecasting algorithms
UE4Metaballs
UE4Metaballs From Custom Material Node How to use and create Metaballs | Live Training | Unreal Engine - Youtube.
DirectX-Graphics-Samples
This repo contains the DirectX Graphics samples that demonstrate how to build graphics intensive applications on Windows.
CPURasterizer
CPU Based Rasterizer Engine
100-nlp-papers
100 Must-Read NLP Papers
airstack-examples
Example Code for AirStack
computational-thinking
Course 18.S191 at MIT, Fall 2022 - Introduction to computational thinking with Julia
IBM-Quantum-QCE20-Tutorials
Repository of code notebooks for tutorials at IEEE Quantum Week (QCE20) https://qce.quantum.ieee.org/tutorials/
modern_practical_nlp
This course covers how you can use NLP to do stuff.
hopfield-layers
Hopfield Networks is All You Need