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Hi there 👋

My name is Matthew, I'm a Machine Learning Engineer. I like building, writing, and understanding how things work.

You can follow me on:

GitHub Stats / Top Languages

My top open-source repos

Top repos I've contributed to

Skills

Programming Languages

Python, JavaScript/Node, C++, Golang, Julia, R, Solidity

python javascript nodejs cplusplus go julia rlang solidity

Frameworks

PyTorch, Tensorflow, JAX, Scikit-Learn, Numpy, Pandas, Langchain, LangchainJS, Typescript, React, Gatsby, Next.js, React Native, Astro, Tailwind CSS, OpenCV, Robotic Operating System (ROS).

PyTorch Tensorflow JAX Scikit-Learn Numpy Pandas Langchain TypeScript react VueJS Gatsby Next.js reactnative Astro tailwind OpenCV Robotic Operating System (ROS)

Platforms

Amazon Web Services (EC2, Sagemaker, Bedrock, Lambda, DynamoDB, SQS, Kinesis, S3, API Gateway, ECS, Fargate)

aws EC2 Sagemaker bedrock Lambda DynamoDB SQS Kinesis S3 API Gateway ECS Fargate

Other Deployments: (Microsoft Azure, Google Cloud Platform, Lambda Cloud, Heroku)

Microsoft Azure gcp Lambda Cloud heroku

Operating Systems

windows macos linux

DevOps / MLOps

Git, GitHub, GitLab, Docker, Kubernetes, Ansible, Terraform, Pulumi, GitLab, Jenkins, Circle CI, Weights & Biases.

git GitHub GitLab docker kubernetes Ansible Terraform Pulumi Jenkins Circle-CI Weights-and-Biases

Databases, Data Engineering

MongoDB, Cassandra, MySQL, FaunaDB, Neo4j, Apache Kafka, Apache Spark, Elasticsearch, Hadoop, Vector Databases (Pinecone, Weaviate, Chroma)

mongodb cassandra mysql FaunaDB Neo4j Apache Kafka Apache Spark Elasticsearch Hadoop Pinecone Weaviate Chroma

Other Tools

HuggingFace, OpenAI, Anthropic, Cohere, Algolia, AI21, GraphQL, Airtable, Zapier, LatchBio, Godot, Supabase, Firebase, Figma

HuggingFace OpenAI Anthropic Cohere Algolia AI21 graphql Airtable Zapier LatchBio godot firebase supabase figma

namnaku87's Projects

acurustrack icon acurustrack

A multi-object tracking component. Works in the conditions where identification and classical object trackers don't (e.g. shaky/unstable camera footage, occlusions, motion blur, covered faces, etc.). Works on any object despite their nature.

ai-basketball-analysis icon ai-basketball-analysis

:basketball::robot::basketball: AI web app and API to analyze basketball shots and shooting pose.

ai4animation icon ai4animation

Bringing Characters to Life with Computer Brains in Unity

allennlp icon allennlp

An open-source NLP research library, built on PyTorch.

animedoro icon animedoro

A reward-based study app inspired by the Pomodoro technique. The only catch is that the break time is used to watch anime for all the anime lovers out there!

animedoro-1 icon animedoro-1

Just wanted to spread the real good concentration technique

animedoro-timer icon animedoro-timer

An Animedoro timer for all the weebs out there | productivity : 📈

animeez icon animeez

AnimeEZ - An Anime Streaming website without any ads for free (Demo - https://animeez.live) BTW ITS MADE IN HTML

annotated_deep_learning_paper_implementations icon annotated_deep_learning_paper_implementations

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

apex icon apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

applied-ml icon applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

aquiladb icon aquiladb

An easy to use Neural Search Engine. Index latent vectors along with JSON metadata and do efficient k-NN search.

awesome icon awesome

😎 Awesome lists about all kinds of interesting topics

awesome-captioning icon awesome-captioning

A curated list of Multimodal Captioning related research(including image captioning, video captioning, and text captioning)

awesome-deep-learning-resources icon awesome-deep-learning-resources

Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier

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