Pinned Repositories
Blind-Signal-Separation-Project
FastICA for blind signal separation of linearly mixed images
CPU-Verilog-Design
Verilog MIPS CPU design and verification project
DataQuest
Jupyter notebook code from DataQuest Data Science Track projects
densepose_setup
Introduction-to-Time-Series-Forecasting-with-Python
Code for the book: Introduction to Time Series Forecasting with Python
Learning-from-Data
Some of my homework and project code from BU course EC503: Learning from Data
Python-code
a bunch of random python code, mostly non-ML/datasci stuff (placed elsewhere)
Python-ML
some python code/templates for various data science and machine learning applications
SageMaker-SSH
SSH to a SageMaker Notebook Instance, enabling VS Code!
torchdata-examples
A collection of examples for using TorchData
austinmw's Repositories
austinmw/SageMaker-SSH
SSH to a SageMaker Notebook Instance, enabling VS Code!
austinmw/mmdetection
OpenMMLab Detection Toolbox and Benchmark
austinmw/ragas
Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines
austinmw/amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
austinmw/cookiecutter-poetry-gitlab
A modern cookiecutter template for Python projects that use Poetry for dependency management
austinmw/d2l-en
An interactive deep learning book with code, math, and discussions, based on the NumPy interface.
austinmw/DALLE2-pytorch
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
austinmw/How-Diffusion-Models-Work
In How Diffusion Models Work, you will gain a deep familiarity with the diffusion process and the models which carry it out. More than simply pulling in a pre-built model or using an API, this course will teach you to build a diffusion model from scratch.
austinmw/huggingface-inferentia2-samples
austinmw/huggingface-notebooks
Jupyter notebooks for the Natural Language Processing with Transformers book
austinmw/llama-from-scratch
austinmw/llama_index
LlamaIndex (formerly GPT Index) is a data framework for your LLM applications
austinmw/llm-hosting-container
Large Language Model Hosting Container
austinmw/mmaction2
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
austinmw/mmengine
OpenMMLab Foundational Library for Training Deep Learning Models
austinmw/mmrotate
OpenMMLab Rotated Object Detection Toolbox and Benchmark
austinmw/models
Models and examples built with TensorFlow
austinmw/NeMo-Guardrails
NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
austinmw/nougat
Implementation of Nougat Neural Optical Understanding for Academic Documents
austinmw/playground
A central hub for gathering and showcasing amazing projects that extend OpenMMLab with SAM and other exciting features.
austinmw/PyTorch-YOLOv3
Minimal PyTorch implementation of YOLOv3
austinmw/rhubarb
A Python framework for multi-modal document understanding with Amazon Bedrock
austinmw/segment-geospatial
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
austinmw/serve
Serve, optimize and scale PyTorch models in production
austinmw/sherlock-project
This repository provides data and scripts to use Sherlock, a DL-based model for semantic data type detection: https://sherlock.media.mit.edu.
austinmw/syne-tune
Large scale and asynchronous Hyperparameter Optimization at your fingertip.
austinmw/TaskMatrix
austinmw/torch2trt
An easy to use PyTorch to TensorRT converter
austinmw/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
austinmw/yolov3-tf2
YoloV3 Implemented in Tensorflow 2.0