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jamesdborin Goto Github PK

followers: 9.0 following: 3.0 repos: 13.0 gists: 0.0

Type: User

👋 Hi, I’m Jamie Dborin
👀 I work on tensor network methods - at the intersection of quantum computing and classical numerical physics.
I am also interested in how tensor methods can be used in deep learning for edge deployment
🌱 I’m currently learning HPC methods in deep learning, computing in embedded devices, and deep learning compiling techniques (Apache TVM)
Long term goal is to be able to deploy tensor network deep learning models in low powered edge devices
💞️ I’m looking to collaborate on edge ML projects
📫 How to reach me - [email protected]

jamesdborin's Projects

autoawq

AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference.

cpp_exercises

C++ Introductory Exercises with Lynda

cpp_masters_course

Learning and Assignment from Master course

cupy

NumPy & SciPy for GPU

jamesdborin

Config files for my GitHub profile.

julia_graphical_models

Using Julia to solve probabilistic ML problems, with Graphical Models.

llm-awq

AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

mps_pretraining_reboot

qmps_syc

This repository holds the code to generate results for the work "Simulating groundstate and dynamical quantum phase transitions on a superconducting quantum computer"

rl_and_tensorflow

Storing tutorials on tensorflow and RL

torch-int

This repository contains integer operators on GPUs for PyTorch.

trackerapp

Visual Performance Tracking App

tvm

Open deep learning compiler stack for cpu, gpu and specialized accelerators

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