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accelerate

🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

ailogs

albumentations

Fast image augmentation library and easy to use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about library: https://www.mdpi.com/2078-2489/11/2/125

amazon-sagemaker-notebook-instance-lifecycle-config-samples

A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurations

autoformer

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

awesome-privacy-llm

batch-jobs-r

Batch Jobs in R

bert-japanese

BERT models for Japanese text.

bigdetection

BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training

building-machine-learning-pipelines

Code repository for the O'Reilly publication "Building Machine Learning Pipelines" by Hannes Hapke & Catherine Nelson

cdqa

⛔ [NOT MAINTAINED] An End-To-End Closed Domain Question Answering System.

centernet2

Two-stage CenterNet

cl-gpt

classyvision

An end-to-end PyTorch framework for image and video classification

codes-for-intra-kd

Inter-Region Affinity Distillation for Road Marking Segmentation (CVPR 2020)

contoso-chat

This sample has the full End2End process of creating RAG application with Prompt Flow and AI Studio. It includes GPT 3.5 Turbo LLM application code, evaluations, deployment automation with AZD CLI, GitHub actions for evaluation and deployment and intent mapping for multiple LLM task mapping.

cyclegan-tensorflow

An implementation of CycleGan using TensorFlow

darts

A python library for easy manipulation and forecasting of time series.

datasets

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

dba

DBA: Averaging for Dynamic Time Warping

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

deep-learning-papers

Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.

deeprl-agents

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

deltapy

DeltaPy - Tabular Data Augmentation (by @firmai)

dlfsr

R implementation of the textbook called Deep Learning from Scratch written by Saito Goki

docker-elk

The ELK stack powered by Docker and Compose.

docker-python

Kaggle Python docker image

dvc-test

test

etsformer-pytorch

Implementation of ETSformer, state of the art time-series Transformer, in Pytorch

faststyle

Tensorflow implementation of fast neural style transfer.