akameswa

MS @ CMU

Carnegie Mellon UniversityPittsburgh

Pinned Repositories

AdvancedComputerVision
Implementation of advanced computer vision algorithms (feature matching, tracking, 3D reconstruction, CNNs) developed in CMU's 16-820 course.
Language:Jupyter Notebook00
akameswa.github.io
Personal Website
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CodeGenerationMoE
A Mixture-of-Experts (MoE) approach to code generation using Mistral-7B as the base model.
Language:Jupyter Notebook21
DeepLearning
A custom PyTorch-inspired framework built from scratch using Python and NumPy.
Language:Jupyter Notebook10
PersonalProjects
Personal projects based using fast-ai
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pytorch-copy
Language:Python00
WebStableDiffusionDemo
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diffusers.js
diffusers implementation for node.js and browser
Language:TypeScript317 10 1736
diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
Language:Python26.3k 201 4.2k5.4k
DiffusionDemo
In-depth exploration of stable diffusion models, walking readers through the inner workings in a step-by-step manner.
Language:Python15 4 13

akameswa/CodeGenerationMoE
A Mixture-of-Experts (MoE) approach to code generation using Mistral-7B as the base model.
Language:Jupyter Notebook21
akameswa/DeepLearning
A custom PyTorch-inspired framework built from scratch using Python and NumPy.
Language:Jupyter Notebook10
akameswa/AdvancedComputerVision
Implementation of advanced computer vision algorithms (feature matching, tracking, 3D reconstruction, CNNs) developed in CMU's 16-820 course.
Language:Jupyter Notebook00
akameswa/akameswa.github.io
Personal Website
Language:HTML00
akameswa/PersonalProjects
Personal projects based using fast-ai
Language:Jupyter Notebook0 1 00
akameswa/pytorch-copy
Language:Python00
akameswa/WebStableDiffusionDemo
Language:TypeScript00