renat-abbyazov

dvc

🦉 ML Experiments and Data Management with Git

pytorch-lightning

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

course-nlp

A Code-First Introduction to NLP course

simple_mf

Simple but Flexible Recommendation Engine in PyTorch

Surprise

A Python scikit for building and analyzing recommender systems

tensorrec

A TensorFlow recommendation algorithm and framework in Python.

dask-ml

Scalable Machine Learning with Dask

UCR_Time_Series_Classification_Deep_Learning_Baseline

Fully Convlutional Neural Networks for state-of-the-art time series classification

timeseries_fastai

fastai V2 implementation of Timeseries classification papers.

transformers

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

cuml

cuML - RAPIDS Machine Learning Library

cudf

cuDF - GPU DataFrame Library

keras-one-cycle

Implementation of One-Cycle Learning rate policy (adapted from Fast.ai lib)

agents

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

node

Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data

pachyderm

Data-Centric Pipelines and Data Versioning

sklearn-pandas

Pandas integration with sklearn

skorch

A scikit-learn compatible neural network library that wraps PyTorch

computer-vision

Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition

gbm-bench

A benchmark to measure performance of popular Gradient boosting algorithms against popular ML datasets.

label-studio

Label Studio is a multi-type data labeling and annotation tool with standardized output format

TransformerModel

Wide-ResDNN

Wide and Deep Learning(Wide&ResDNN) for Kaggle Criteo Dataset in tensorflow

kserve

Standardized Serverless ML Inference Platform on Kubernetes

ml-on-gcp

Machine Learning on Google Cloud Platform

data-validation

Library for exploring and validating machine learning data

pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

transform

Input pipeline framework

facets

Visualizations for machine learning datasets

model-analysis

Model analysis tools for TensorFlow