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A light-weight and powerful meta-prompting, context engineering and spec-driven development system for Claude Code by TÂCHES.
The Context Layer for unstructured data: typed, versioned datasets over S3, GCS, Azure
The simplest, fastest repository for training/finetuning medium-sized GPTs.
The local UI to run and train text and diffusion models, including Kimi K3, Gemma 4, Qwen3.6, DeepSeek-V4, FLUX and more.
Fast, Accurate, Lightweight Python library to make State of the Art Embedding
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
An integration of Qdrant ANN vector database backend with Haystack
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Develop microservices locally while being connected to your Kubernetes environment
Predicting next word with Natural Language Processing. Being able to predict what word comes next in a sentence is crucial when writing on portable devices that don't have a full size keyboard. How…
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
A spaCy wrapper of Entity-Fishing (component) for named entity disambiguation and linking on Wikidata
♾️ CML - Continuous Machine Learning | CI/CD for ML
Get started DVC project (NLP, random forest)
🏷️ Git Tag Ops. Turn your Git repository into Artifact Registry or Model Registry.
Simple dispatch package for python, extracted from django.dispatch.
A structured approach to designing and documenting Aggregates
Persists tmux environment across system restarts.
Beyond Accuracy: Behavioral Testing of NLP models with CheckList
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…
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
AI Infra / AI Orchestration / AI Control Plane
My solutions to the assignments in the book: "A Student’s Guide to Bayesian Statistics" by Ben Lambert.
5, 6, 7 years old math