diro5t
Comp. Scientist, IT Manager, Consultant, SAP Expert, Indep. AI Researcher, AI = Deep Learning + Causal Inference + Symbol Manipulation, Deep Quadric Learning
Pittsburgh
Pinned Repositories
abap-cheat-sheets
Explore ABAP syntax in a nutshell supported by executable demo examples.
arcadedb
ArcadeDB Multi-Model Database, one DBMS that supports SQL, Cypher, Gremlin, HTTP/JSON, MongoDB and Redis. ArcadeDB is a conceptual fork of OrientDB, the first Multi-Model DBMS. ArcadeDB supports Vector Embeddings.
bambi
BAyesian Model-Building Interface (Bambi) in Python.
csdid
CSDID
deep_quadric_learning
Deep Quadric Learning
dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
keras
Deep Learning for humans
problog
ProbLog is a Probabilistic Logic Programming Language for logic programs with probabilities.
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
diro5t's Repositories
diro5t/csdid
CSDID
diro5t/abap-cheat-sheets
Explore ABAP syntax in a nutshell supported by executable demo examples.
diro5t/bambi
BAyesian Model-Building Interface (Bambi) in Python.
diro5t/BitNet
Official inference framework for 1-bit LLMs
diro5t/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
diro5t/keras
Deep Learning for humans
diro5t/causaltune
AutoML for causal inference.
diro5t/causica
diro5t/chroma
the AI-native open-source embedding database
diro5t/d3
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
diro5t/docs
CAP Documentation
diro5t/dodiscover
[Experimental] Global causal discovery algorithms
diro5t/doubleml-for-py
DoubleML - Double Machine Learning in Python
diro5t/EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques
diro5t/Flowise
Drag & drop UI to build your customized LLM flow
diro5t/hydra
Hydra is a framework for elegantly configuring complex applications
diro5t/jupyterlab-desktop
JupyterLab desktop application, based on Electron.
diro5t/langchain
🦜🔗 Build context-aware reasoning applications
diro5t/llama-recipes
Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment. Demo apps to showcase Meta Llama for WhatsApp & Messenger.
diro5t/llama_index
LlamaIndex is a data framework for your LLM applications
diro5t/NCS-AI
diro5t/networkx
Network Analysis in Python
diro5t/numpyro
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
diro5t/ollama
Get up and running with Llama 3, Mistral, Gemma, and other large language models.
diro5t/ollama-python
Ollama Python library
diro5t/orchestration-service
Demo notebook for running a machine learning pipeline using SAP's Orchestration Service
diro5t/pymc
Bayesian Modeling and Probabilistic Programming in Python
diro5t/pytorch-lightning
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
diro5t/torchchat
Run PyTorch LLMs locally on servers, desktop and mobile
diro5t/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow