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amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

autodoc-example

A basic example of using Sphinx and autodoc

automatic_defect_detection

Calculating atom-based features and use them for image analysis

awesome-ai-agents

A list of AI autonomous agents

awesome-generative-ai

A curated list of modern Generative Artificial Intelligence projects and services

awesome-llm

Awesome-LLM: a curated list of Large Language Model

bartpy

Bayesian Additive Regression Trees For Python

cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

codpy_alpha

codpy public version

cs-video-courses

List of Computer Science courses with video lectures.

data-structures-and-algorithms

Data Structures and Algorithms in Python

deep_learning_total_variation_regularization

deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

differentialequations.jl

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components

diffraction_pattern_denoising_testing

Using machine learning methods to denoise electron diffraction patterns

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fastlane-plugin-changelog

Automate changes to your project CHANGELOG.md

finding_atomic_positions_testing

find atomic positions in HAADF-STEM images

foundation-of-the-r-workflow-workshop-2019-09-06

Introduction to the Foundation of the R Workflow - Tidyverse, Notebooks & R Markdown

generative-ai-for-beginners

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

high_throughput_stem_simulation

highentropyalloy_stem_simulation

langchain

🦜🔗 Build context-aware reasoning applications

llama-chat

Chat with Meta's LLaMA models at home made easy

machine_learning_dynamics

machine_learning_kinetics

machine_learning_refined

Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).

market-breadth

计算美股、A股市场宽度

ningwang1990.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

notebooks

Jupyter notebooks for the Natural Language Processing with Transformers book