Starred repositories
Official repository for TKDE 2026 paper: Data Augmentation for Sequential Recommendation: A Survey
Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch…
A flexible framework of neural networks for deep learning
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
📡 Simple and ready-to-use tutorials for TensorFlow
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date …
All Algorithms implemented in Python
Visualizer for neural network, deep learning and machine learning models
REST job server for Apache Spark
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.
A collection of design patterns/idioms in Python
A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks
Simple and comprehensive tutorials in TensorFlow
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while control…
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
Models and examples built with TensorFlow