abs711
Machine Learning | Applied Mathematics PhD, University of Washington Seattle
https://www.kurtlab.com/Seattle, WA
Pinned Repositories
asl-ml-immersion
This repos contains notebooks for the Advanced Solutions Lab: ML Immersion
Data-Analysis
Exploration of computational methods for data analysis
Diffusion-based-Segmentation
This is the official Pytorch implementation of the paper "Diffusion Models for Implicit Image Segmentation Ensembles".
end2end-text-summarization
gen_ML
High-Performance-Scientific-Computing
Optimization of various matrix operations for different hardware- 1) Hierarchical memory (registers, cache, virtual memory), 2) Instruction level parallelism, 3) Multicore processors, 4) Shared memory parallelism, 5) GPU (CUDA), 6) Distributed memory parallelism (MPI). Code developed as a part of amath 583 course at University of Washington.
makemore
An autoregressive character-level language model for making more things
Optimizing-representations-for-gait-generation
Using encoder-decoder neural networks to learn representations of personal walking style, and generating person-specific gait for desired activities.
The-way-of-the-future
A dataset of egocentric vision, eye-tracking and full body kinematics from human locomotion in out-of-the-lab environments. Also, different use cases of the dataset along with example code.
Visual-Control
Deep Learning models to fuse imu-based motion capture and first-person video data to improve the prediction of future knee and ankle joint kinematics, in complex real-world environments.
abs711's Repositories
abs711/The-way-of-the-future
A dataset of egocentric vision, eye-tracking and full body kinematics from human locomotion in out-of-the-lab environments. Also, different use cases of the dataset along with example code.
abs711/Optimizing-representations-for-gait-generation
Using encoder-decoder neural networks to learn representations of personal walking style, and generating person-specific gait for desired activities.
abs711/High-Performance-Scientific-Computing
Optimization of various matrix operations for different hardware- 1) Hierarchical memory (registers, cache, virtual memory), 2) Instruction level parallelism, 3) Multicore processors, 4) Shared memory parallelism, 5) GPU (CUDA), 6) Distributed memory parallelism (MPI). Code developed as a part of amath 583 course at University of Washington.
abs711/sql_commands
Some sql exercises
abs711/Visual-Control
Deep Learning models to fuse imu-based motion capture and first-person video data to improve the prediction of future knee and ankle joint kinematics, in complex real-world environments.
abs711/asl-ml-immersion
This repos contains notebooks for the Advanced Solutions Lab: ML Immersion
abs711/Data-Analysis
Exploration of computational methods for data analysis
abs711/Diffusion-based-Segmentation
This is the official Pytorch implementation of the paper "Diffusion Models for Implicit Image Segmentation Ensembles".
abs711/end2end-text-summarization
abs711/gen_ML
abs711/makemore
An autoregressive character-level language model for making more things
abs711/micrograd
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
abs711/ml-from-scratch
abs711/StocksAnalysis
abs711/nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
abs711/pyspark_stuff