Stars
Hierarchical Reasoning Model Official Release
For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
FastStream is a powerful and easy-to-use Python framework for building asynchronous services interacting with event streams such as Apache Kafka, RabbitMQ, NATS and Redis.
Awesome list of ActivityPub based projects
Optimized and Maintenance-free Kubernetes on Hetzner Cloud in one command!
An up-to-date, community-made list of European tech alternatives. The aim is to highlight projects and companies that meet GDPR, UK GDPR, and Swiss FADP standards, following regulations and practic…
Matplotlib styles for scientific plotting
python library for graphical and continuous representations of ICD9 and ICD10 codes
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
Overview of the data QC, code, and GWAS summary output from the 2017 UK Biobank data release
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Gradient based Hyperparameter Tuning library in PyTorch
A Rust implementation of Glidesort, my stable adaptive quicksort/mergesort hybrid sorting algorithm.
A playbook for systematically maximizing the performance of deep learning models.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)
Code samples for my book "Neural Networks and Deep Learning"
A collection of resources and papers on Diffusion Models
Code examples, data structures, and links from my book, Rust Atomics and Locks.
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.
Statistics-driven benchmarking library for Rust
Implemented here a Binary Neural Network (BNN) achieving nearly state-of-art results but recorded a significant reduction in memory usage and total time taken during training the network.