Name: Carson Lam
Type: User
Bio: AI/ML engineer & physician interested in language models, reinforcement learning, medicine and neuroscience
Twitter: carsonlam
Location: SF bay area
My scientific passion and engineering focus is on artificial intelligence, improved methods for fine-tuning pretrained large language models, reinforcement learning from human feedback, model augmentation with up to date knowledge, methods for long term memory beyond longer token context windows and how to communicate these concepts in a way that is non-intimidating, empathetic, yet technically meaningful.
Tools
adaptive-computation-time
The notebook connects the formulas used in the paper to the code that implements those formulas by implementing a training pipeline on a small but meaningful dataset
airl
ADVERSARIAL INVERSE REINFORCEMENT LEARNING
argparse
async-in-out
a practical show it, explain it, modify it, guide to asynchronous input/output programming in python
azure-texting
send and receive SMS using python and Azure
azure-voting-app-redis
balance
basic_algorithm_exercises
Basic Algorithm Design Analysis Notebook for Teaching
buddy
byte-pair-encoding
case
Cooper: What's your trust setting, TARS? TARS: Lower than yours, apparently - Interstellar
cdl
Chicken Dance License! The official IANAL license.
celery-fastapi-redis
chat-transformer
A chatbot using the Vaswani transformer as it's sequence-to-sequence module
clam004
Config files for my GitHub profile.
clam004.github.io
command-line-tutorial
convnet_train
deep
exploring some deep learning
docker-pytorch-api
Deploying PyTorch as a RESTAPI using Docker and FastAPI with CUDA support
foundrl
foundational reinforcement learning concepts with code and corresponding equations side-by-side applied to small but meaningful example problems
gen-data
a collection of synthetic data generating examples
general-deep-learning-nlp-classifier
Template for multi-class classification with variable length sequences using Gated Recurrent Units
gtm_ntm
Generative Temporal Memory with Neural Turning Machines
image_modification
intro_continual_learning
This is a tutorial to connect the fundamental mathematics to a practical implementation addressing the continual learning problem of artificial intelligence
introduction-to-deep-learning-for-bmi-260
Intro to gradients and CNNs with PyTorch
k8s-fast
kubernetes-fastapi
kv-caching-toy-example
lsa_svd
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ❤️ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
