Repository Index

Solve puzzles. Improve your pytorch.

• machine-learning
• puzzle
• torch

Probabilistic reasoning and statistical analysis in TensorFlow

• tensorflow
• bayesian-methods
• deep-learning
• machine-learning

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

• machine-learning
• notebook
• azure
• deep-learning

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

• tensorflow
• machine-learning
• regression
• convolutional-neural-networks

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

• deep-learning
• coursera
• coursera-assignment
• coursera-specialization

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

• automl
• hyperparam
• automated-machine-learning
• machine-learning

Plain python implementations of basic machine learning algorithms

• machine-learning
• logistic-regression
• ipynb
• machine-learning-algorithms

Materials for the Hugging Face Diffusion Models Course

Segment Anything in High Quality [NeurIPS 2023]

• sam
• segmentation
• segment-anything
• zero-shot-segmentation

Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.

• gpu-acceleration
• large-language-models
• llm
• llm-inference

Everything you need to know to build your own RAG application

• agentic-rag
• chatbot
• llm
• machine-learning

A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

• navier-stokes-equations
• cfd
• jupyter-notebook
• python

Build a modern LLM from scratch. Every line commented. Explained like we are five.

• attention-mechanism
• deep-learning
• educational
• from-scratch

A collection of guides and examples for the Gemma open models from Google.

• codegemma
• gemma
• paligemma
• recurrentgemma

The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"

TimeGPT-2.1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.

• time-series
• time-series-forecasting
• deep-learning
• forecasting

SoTA LLM for converting natural language questions to SQL queries

[CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering

• 3d
• computer-vision
• dynamic-scene
• gaussian-splatting

Машинное обучение на ФКН ВШЭ

This is a Phi Family of SLMs book for getting started with Phi Models. Phi a family of open sourced AI models developed by Microsoft. Phi 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

• phi3
• phi3-testing
• phi3-vision
• phi4

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

• deep-reinforcement-learning
• qlearning
• deep-learning
• tensorflow-tutorials

[CCS'24] A dataset consists of 15,140 ChatGPT prompts from Reddit, Discord, websites, and open-source datasets (including 1,405 jailbreak prompts).

• chatgpt
• jailbreak
• llm
• prompt

Notes about courses Dive into Deep Learning by Mu Li

• deep-learning
• pytorch

This is Andrew NG Coursera Handwritten Notes.

• andrewng
• andrew-ng
• andrew-ng-course
• andrew-ng-machine-learning