Repository Index

Book about interpretable machine learning

Create delightful software with Jupyter Notebooks

• jupyter-notebooks
• python
• literate-programming
• fastai

Neo4j graph construction from unstructured data using LLMs

• data-import
• genai
• graph
• graph-rag

Tacotron 2 - PyTorch implementation with faster-than-realtime inference

Technical Analysis Library using Pandas and Numpy

• trading
• technical-analysis
• python3
• volume

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

• efficientdet
• efficientnet
• pytorch
• object-detection

Translatedpandas tutorial in Chinese

• pandas

Sutskever 30 implementations inspired by https://papercode.vercel.app/ | For Agents, use https://github.com/pageman/Sutskever-Agent | Polyglot / Multi-Backed version at https://github.com/pageman/sutskever-30-beyond-numpy

Translated"A Guide to Building the Large Model White Box": a Tiny-Universe made entirely by hand

• rag
• agent
• diffusion
• evaluation-metrics

Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)

• human-pose-estimation
• realtime
• caffe
• human-behavior-understanding

links to conference publications in graph-based deep learning

• graph-neural-networks
• graph-convolutional-networks
• graph
• deep-learning

Translated🎓 Academic portfolio that boosts citations. AI generates pages, you own as Markdown. BibTeX auto-import, Jupyter, LaTeX, slides, visual block editor — free to host forever. Academic homepage, AI-generated, Markdown-owned 👇

• hugo
• website-generation
• academic
• netlify

Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.

• dependency-graph

A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

• machine-learning
• deep-learning
• data-science
• neural-networks

TranslatedSome interesting Python crawlers and data analysis projects

unet for image segmentation

• unet
• keras
• segmentation

Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

• machine-learning
• data-science
• python
• mathematics

The 3rd edition of course.fast.ai

• data-science
• fastai
• deep-learning
• pytorch

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

• machine-learning
• dockerfiles
• jetson
• pytorch

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 with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

• machine-learning
• economics
• causal-inference
• causality

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

• bayesian-methods
• deep-learning
• machine-learning
• data-science

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

• data-science
• machine-learning
• deep-learning
• data-portfolio

TranslatedKnowledge, code, and ideas for data mining, computer vision, natural language processing, and recommender system competitions

• kaggle
• data-competition
• data-science
• deep-learning

Acceptance rates for the major AI conferences