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airbnb-predictor

An application to predict the price of AirBnBs

airbnb_ls_bw

The Unit 3 & 4 build week project: Predicting AirBnB prices.

ann-cuda-framework

Basic ANN Framework utilizing cudnn and the CUDA programming language. Sources: "Learn CUDA programming" from Jaegeun Han and Bharatkumar Sharma.

ann-cuda-pybind11

Functional ANN framework utilizing cudnn and the CUDA programming language to create a python module. Sources: "Learn CUDA programming" from Jaegeun Han and Bharatkumar Sharma.

articulated-animation

Code for Motion Representations for Articulated Animation paper

asynchronous-pipeline-callbacks-and-event-recorder-cuda

Asynchronous pipeline example with callbacks and event recorders to further understand teachings from the book "Learn CUDA Programming" from Jaegeun Han and Bharatkumar Sharma.

audiolm-pytorch

Implementation of AudioLM, a SOTA Language Modeling Approach to Audio Generation out of Google Research, in Pytorch

bent_normals-blender-addon

bentnormalscpumodule

CPU python module for Blender 3D addon Bent Normals

bentnormalscudamodule

CUDA python module for Blender 3D addon Bent Normals

blockchain-miner-cuda

Implementation of a blockchain miner using the CUDA language and with the help of a tutorial from youtube that I can no longer locate.

cddpo

Code for the paper "Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model"

chatgpt-desktop

ChatGPT desktop app made with PyQT5. Features include web search, prompt manager, wolfram alpha integration, pdf summarization and more!

cublas-sgemm-cuda

cublas SGEMM implementation using the CUDA programming language. Asynchronous and serial versions provided. Sources: "Learn CUDA Programming" from Jaegeun Han and Bharatkumar Sharma.

cuda-dynamic-parallelism-recursion-example

An example showcasing recursion with dynamic parellelism using the CUDA programming language. Sources: "Learn CUDA Programming" from Jaegeun Han and Bharatkumar Sharma.

cuda-reduction-kernel

Implementation of parallel reduction using the CUDA programming language. Benchmarking code included to test how various memory or computation optimizations improve performance. Sources: "Learn CUDA Programming" from Jaegeun Han and Bharatkumar Sharma.

cuda-simple-sgemm

Simple SGEMM implementation using the CUDA programming language. Sources: "Learn CUDA Programming" from Jaegeun Han and Bharatkumar Sharma.

cuda-streams

An example of how CUDA streams are created, managed, and destroyed to help understand CUDA while working through the book "Learn CUDA Programming" from Jaegeun Han and Bharatkumar Sharma.

datasets

Datasets used in Plotly examples and documentation

dreambooth-anything

A repository to consolidate stable diffusion finetuning scripts. Train inpainting, depth, v1+, v2+, image variations, image colorization, whatever. Train with optimizations like 8 bit adam and xformers for faster and more memory efficient training.

dreambooth_depth2img

adaptation of huggingface's dreambooth training script to support depth2img

ds-assignment-submission-practice-repository

ds-unit-1-sprint-1-data-wrangling-and-storytelling

ds-unit-1-sprint-2-statistics

ds-unit-2-applied-modeling

ds-unit-2-kaggle-challenge

ds-unit-2-linear-models

fastertransformer

Transformer related optimization, including BERT, GPT

fastertransformer_backend

flappy-bird-nft

Flappy Bird NFT to demonstrate the capabilities of the GameStop NFT wallet.