Stars
🦜🔗 Build context-aware reasoning applications
An awesome & curated list of best LLMOps tools for developers
A playbook for systematically maximizing the performance of deep learning models.
Helps you with managing your investments
Molecular Generation for Desired Transcriptome Changes with Adversarial Autoencoders
System design interview for IT companies
A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for Generative Models
Full-featured library for writing Alfred 3 & 4 workflows
🤘 A collection of Alfred 3 and 4 workflows that will rock your world
Open source platform for the machine learning lifecycle
Generative Tensorial Reinforcement Learning (GENTRL) model
Use Prometheus to monitor Kubernetes and applications running on Kubernetes
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
Machine Learning Toolkit for Kubernetes
A docker image and kubernetes config files to run Airflow on Kubernetes
Bioinformatics'2020: BioBERT: a pre-trained biomedical language representation model for biomedical text mining
Freeze (package) Python programs into stand-alone executables
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
A curated awesome list of lists of interview questions. Feel free to contribute! 🎓
A Python toolbox for performing gradient-free optimization
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Standardized data set for machine learning of protein structure