Pinned Repositories
raven
RAVEN is a flexible and multi-purpose probabilistic risk analysis, validation and uncertainty quantification, parameter optimization, model reduction and data knowledge-discovering framework.
100-plus-Python-programming-exercises-extended
100+ python programming exercise problem discussed ,explained and solved in different ways
26-Weeks-Of-Data-Science
Email Newsletter
AI-For-Beginners
12 Weeks, 24 Lessons, AI for All!
avici
Amortized Inference for Causal Structure Learning, NeurIPS 2022
bel2scm
Generate dynamic structural causal models from biological knowledge graphs encoded in the Biological Expression Language (BEL)
deepscm
Repository for Deep Structural Causal Models for Tractable Counterfactual Inference
NODE-DDMD
Adapted neural network to Extended Dynamic Mode Decomposition (namely Deep-DMD(DDMD)) and replaced it with Neural Ordinary Differential Equations(NODE).
scipy_2022_causal_inference_tutorial
A set of decks and notebooks with exercises for use in a hands-on causal inference tutorial session
Jimmy-INL's Repositories
Jimmy-INL/causalnex
A Python library that helps data scientists to infer causation rather than observing correlation.
Jimmy-INL/lingam
Python package for causal discovery based on LiNGAM.
Jimmy-INL/opencti
Open Cyber Threat Intelligence Platform
Jimmy-INL/Phi-3CookBook
This is a Phi-3 book for getting started with Phi-3. Phi-3, a family of open AI models developed by Microsoft. Phi-3 models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks.
Jimmy-INL/raven
RAVEN is a flexible and multi-purpose probabilistic risk analysis, uncertainty quantification, parameter optimization and data knowledge-discovering framework.
Jimmy-INL/AGI-survey
Jimmy-INL/algorithms
Minimal examples of data structures and algorithms in Python
Jimmy-INL/awesome-roadmaps
A curated list of roadmaps.
Jimmy-INL/bayesian-machine-learning
Notebooks related to Bayesian methods for machine learning
Jimmy-INL/cookbook
A collection of guides and examples for the Gemini API.
Jimmy-INL/data-juicer
A one-stop data processing system to make data higher-quality, juicier, and more digestible for (multimodal) LLMs! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷为大模型提供更高质量、更丰富、更易”消化“的数据！
Jimmy-INL/developer-roadmap
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
Jimmy-INL/digital_twin_robot
Digital twin for reliability and predictive maintenance
Jimmy-INL/generative-ai-for-beginners
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Jimmy-INL/handson-ml3
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Jimmy-INL/KAN
Implementation on how to use Kolmogorov-Arnold Networks (KANs) for classification and regression tasks.
Jimmy-INL/micrograd
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Jimmy-INL/minihack
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research
Jimmy-INL/ML-Bench
The Official Repo of ML-Bench: Evaluating Large Language Models and Agents for Machine Learning Tasks on Repository-Level Code (https://arxiv.org/abs/2311.09835)
Jimmy-INL/OpenDevin
🐚 OpenDevin: Code Less, Make More
Jimmy-INL/PINA
Physics-Informed Neural networks for Advanced modeling
Jimmy-INL/polygonzone
A web utility to draw polygons and retrieve their coordinates for computer vision applications.
Jimmy-INL/pykan
Kolmogorov Arnold Networks
Jimmy-INL/pysensors
PySensors is a Python package for sparse sensor placement
Jimmy-INL/quivr
Open-source RAG Framework for building GenAI Second Brains 🧠 Build productivity assistant (RAG) ⚡️🤖 Chat with your docs (PDF, CSV, ...) & apps using Langchain, GPT 3.5 / 4 turbo, Private, Anthropic, VertexAI, Ollama, LLMs, Groq that you can share with users ! Efficient retrieval augmented generation framework
Jimmy-INL/roboflow-notebooks
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.
Jimmy-INL/roboflow-python
The official Roboflow Python package. Manage your datasets, models, and deployments. Roboflow has everything you need to build a computer vision application.
Jimmy-INL/roop
one-click face swap
Jimmy-INL/SWE-agent
SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It solves 12.47% of bugs in the SWE-bench evaluation set and takes just 1 minute to run.
Jimmy-INL/ToonCrafter
a research paper for generative cartoon interpolation