Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Instruct-tune LLaMA on consumer hardware

An open source implementation of CLIP.

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

Multi-Joint dynamics with Contact. A general purpose physics simulator.

Solve puzzles. Learn CUDA.

Neural question generation using transformers

High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.

Letting computers listen to you and really care

RUDOLPH: One Hyper-Tasking Transformer can be creative as DALL-E and GPT-3 and smart as CLIP

Implementation of "The Power of Scale for Parameter-Efficient Prompt Tuning"

BERT, AWS RDS, AWS Forecast, EMR Spark Cluster, Hive, Serverless, Google Assistant + Raspberry Pi, Infrared, Google Cloud Platform Natural Language, Anomaly detection, Tensorflow, Mathematics

Prompt tuning toolkit for GPT-2 and GPT-Neo

A basic ui for running gpt neo 2.7B on low vram (3 gb Vram minimum)

A single notebook for fine-tuning GPT-3.5 turbo

A lightweight and low level framework to Cartesian Genetic Programming (CGP) in Python(3). Georgia Tech students working on using ezCGP to evolve neural network designs.

A personal repository for lookng at data surrounding covid, and the omicron outbreak in particular