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Sankeerth Rao Karingula's Projects

devdayexpts icon devdayexpts

Testing out the OpenAI features launched on Dev Day

dl4math icon dl4math

Resources of deep learning for mathematical reasoning (DL4MATH).

dps icon dps

Data processing system for polyglot

draco icon draco

Draco is a library for compressing and decompressing 3D geometric meshes and point clouds. It is intended to improve the storage and transmission of 3D graphics.

dream-with-vision-pro icon dream-with-vision-pro

Text to 3D generation in Apple Vision Pro built with the VisionOS SDK. 3D Scribblenauts in AR for the Scale Generative AI Hackathon. Won Scale AI Prize

drools icon drools

Drools is a rule engine, DMN engine and complex event processing (CEP) engine for Java.

executorch icon executorch

On-device AI across mobile, embedded and edge for PyTorch

fairseq icon fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

file-gpt icon file-gpt

Start a chat with any document with Ada Embedding and Davinci Completion

firecrawl icon firecrawl

🔥 Turn entire websites into LLM-ready markdown

flax icon flax

Flax is a neural network library for JAX that is designed for flexibility.

gaussian-splatting icon gaussian-splatting

Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

gltf icon gltf

glTF – Runtime 3D Asset Delivery

gpt-2 icon gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

gpt-3 icon gpt-3

GPT-3: Language Models are Few-Shot Learners

gpt-fast icon gpt-fast

Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.

gpt-neox icon gpt-neox

An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.

gpt4all icon gpt4all

gpt4all: an ecosystem of open-source chatbots trained on a massive collections of clean assistant data including code, stories and dialogue

h2o-llmstudio icon h2o-llmstudio

H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://h2oai.github.io/h2o-llmstudio/

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