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Awesome-LLM: a curated list of Large Language Model
A curated list of MXNet examples, tutorials and blogs.
Reinforcement learning resources curated
Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2022)
Cracking the Coding Interview 6th Ed. Python Solutions
PyTorch implementations of deep reinforcement learning algorithms and environments
From search engines, to science, to robotics, this reposity is meant to showcase the use of reinforcement learning in the world..
PyTorch Distributed Tutorial
DQN to play Atari Pong
Code for "Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills"
Embedding to Learn
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
From the Transistor to the Web Browser, a rough outline for a 12 week course
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Human Level Control via Deep Reinforcement Learning
Joystick driver for ROS2, support all platforms: Linux, OS X, Windows
Amazon Deep Learning's Keras with Apache MXNet support
holds initial TF learning scripts
contains data file for demo
LLM survey
Collection of papers and resources on Reasoning in Large Language Models (LLMs), including Chain-of-Thought (CoT), Instruction-Tuning, and others.
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.