audioinstruct

autoencoder

axolotl

Go ahead and axolotl questions

cml-bases

DEMO: trying CML (MLOPS)

convnet-cifar10

A complete deep learning pipeline

deep-q-learning

DEMO: DQL (RL)

deepspeed-mii

MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.

earthquakeprediction

DEMO: prediction earthquakes with RNN (Pytorch)

fastapi

FastAPI framework, high performance, easy to learn, fast to code, ready for production

fastertransformer_backend

initiations

kernl

Kernl lets you run Pytorch transformer models several times faster on GPU with a single line of code, and is designed to be easily hackable.

minispeechcommands_recognition

DEMO: A Model trained to recognize speech commands

ml-engineering

Machine Learning Engineering Open Book

mlops

MLOPS pipeline with mulitple frameworks

nemo

NeMo: a toolkit for conversational AI

neural-transfer-using-pytorch

Implementation of the pytorch's neural transfer tutorial

openadv

An easy to use tool to apply adversarial attacks

openai-triton

optuna-bases

DEMO: trying Optuna (hyperparameter optimization framework)

point-alpaca

q-learning

DEMO: QL (RL)

smit

SMIT: A Simple Modality Integration Tool

speech-to-text-benchmark

speech to text benchmark framework

stockllm

Elevating Chess Strategy with Fine-Tuned Large Language Model

the-lottery-ticket-hypothesis

Implementation of the Lottery Ticket Hypothesis

thytu

transformer-deploy

Efficient, scalable and enterprise-grade CPU/GPU inference server for 🤗 Hugging Face transformer models 🚀

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

whisper-test

Just some testing, nothing to see here