Repository Index

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

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

An Open-Source Framework for Prompt-Learning.

• nlp
• pre-trained-language-models
• ai
• nlp-machine-learning

Translated"Deep Learning from Scratch" (O'Reilly Japan, 2016)

Repo for my 'Learning JavaScript Design Patterns' book

The 3rd edition of course.fast.ai

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

It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

• data-science
• machine-learning
• deep-learning
• interview-preparation

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

• machine-learning
• dockerfiles
• jetson
• pytorch

Paper list of multi-agent reinforcement learning (MARL)

• multiagent-reinforcement-learning
• multi-agent-learning

Translated"Interpretable Machine Learning -- A Guide to Understanding the Interpretability of Black-Box Models", the Chinese edition of the book "Interpretable Machine Learning"

🚀 An open-source, hands-on curriculum bridging the gap from basic RL concepts to LLM alignment, RLVR, and advanced Agentic systems.

• agent
• agentic
• agentic-ai
• agentic-rl

:computer: :mortar_board: Git-it is a (Mac, Win, Linux) Desktop App for Learning Git and GitHub

Learn Python from DevOps Engineer point of you.

CSS talks you have to see covering CSS Grid, flexbox, custom variables, performance, frameworks, tooling, and more! 📺

• css
• awesome-lists
• conference-talks
• css-grids

TranslatedDeep Learning Visualization Toolkit (PaddlePaddle (飞桨, "Flying Paddle") deep learning visualization tool)

• visualization
• deep-learning
• paddlepaddle
• onnx

PyTorch code and models for VJEPA2 self-supervised learning from video.

《Machine Learning Systems: Design and Implementation》 (V2 is launching soon）

• machine-learning
• software-architecture
• textbook
• computer-systems

LightGlue: Local Feature Matching at Light Speed (ICCV 2023)

• deep-learning
• image-matching
• pose-estimation
• transformers

Learn to write Rust procedural macros  [Rust Latam conference, Montevideo Uruguay, March 2019]

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

• deep-learning

A human-centric, resource-aware Android node for edge computing and federated learning. Orchestrates distributed intelligence with privacy-first localization and empathetic hardware management.

• android
• distributed-systems
• edge-ai
• edge-computing

[COLM 2024] OpenAgents: An Open Platform for Language Agents in the Wild

• llm
• code-generation
• executable-langauge-grounding
• language-model

An Engine-Agnostic Deep Learning Framework in Java

• deep-learning
• neural-network
• ai
• java

The smartest way to learn touch typing and improve your typing speed.

• typing
• typing-tutor
• keyboard
• keyboard-layout

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