austinmw/requests-code-review-pilot
A simple, yet elegant, HTTP library.
Senior Applied Scientist @ AWS Generative AI Innovation Center
Repositories
austinmw/dgx-spark-playbooks
Collection of step-by-step playbooks for setting up AI/ML workloads on NVIDIA DGX Spark devices with Blackwell architecture.
austinmw/langchain-aws
Build LangChain Applications on AWS
austinmw/smolagents
🤗 smolagents: a barebones library for agents that think in code.
austinmw/sdk-python
A model-driven approach to building AI agents in just a few lines of code.
austinmw/concordia
A library for generative social simulation
austinmw/models
Models and examples built with TensorFlow
austinmw/llama_index
LlamaIndex (formerly GPT Index) is a data framework for your LLM applications
austinmw/LLMs-from-scratch
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
austinmw/samples
Agent samples built using the Strands Agents SDK.
austinmw/segment-geospatial
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
austinmw/syne-tune
Large scale and asynchronous Hyperparameter Optimization at your fingertip.
austinmw/llm-hosting-container
Large Language Model Hosting Container
austinmw/micrograd
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
austinmw/langgraph-supervisor-py
austinmw/mmengine
OpenMMLab Foundational Library for Training Deep Learning Models
austinmw/Resources-for-ML
concept descriptions, lecture notes, papers, and cheatsheets related to Data Science and Machine Learning
austinmw/gstack-lite
Markdown-only, low-ceremony version of gstack
austinmw/hermes-agent-self-evolution
⚒ Evolutionary self-improvement for Hermes Agent — optimize skills, prompts, and code using DSPy + GEPA
austinmw/huggingface-notebooks
Jupyter notebooks for the Natural Language Processing with Transformers book
austinmw/realtime-lunarlander
Realtime LunarLander experiments with LLMs, imitation learning, and DAgger.
austinmw/Hands-On_ML_Scikit-Learn_TensorFlow
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
austinmw/cartpole-exps
austinmw/rhubarb
A Python framework for multi-modal document understanding with Amazon Bedrock
austinmw/cookiecutter-poetry-gitlab
A modern cookiecutter template for Python projects that use Poetry for dependency management
austinmw/ragas
Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines
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/NeMo-Guardrails
NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
austinmw/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
austinmw/gpt-engineer
CLI platform to experiment with codegen. Precursor to: https://lovable.dev