Type

Selection — 3 881

RBMs in R

github.com

Deep Belief Networks Tutorial

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Awesome Network Embedding

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Tutorial

github.com

GitHub Project

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Python Flask App running with the Google AI Gemini API, designed to get you started building with Gemini's multi-modal capabilities

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React-based starter app for using the Multimodal Live API over a websocket

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A fullstack application using a React frontend and a LangGraph-powered backend agent

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A collection of small apps that demonstrate how Gemini can be used to create interactive experiences

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Python

github.com

Go

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Node.js

github.com

Java

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C#

github.com

<br><br>

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Anthropic on AWS

github.com

Explore examples and solutions for using Claude on AWS infrastructure.

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DeepSeek-R1

github.com

First-generation reasoning models from DeepSeek.

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Kimi-K2

github.com

MoE language model with 32B active and 1T total parameters.

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LLMsPracticalGuide

github.com

A curated list of practical guide resources of LLMs

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A Chinese collection of prompt examples to be used with the ChatGPT model.

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Awesome ChatGPT

github.com

Curated list of resources for ChatGPT and GPT-3 from OpenAI.

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A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models.

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How to ask LLMs to produce reliable reasoning and make reason-responsive decisions.

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A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).

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LLM Reading List

github.com

A paper & resource list of large language models.

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Collection of papers and resources on Reasoning using Language Models.

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Measuring LLMs' Reasoning Performance

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Awesome GPT

github.com

A curated list of awesome projects and resources related to GPT, ChatGPT, OpenAI, LLM, and more.

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Awesome GPT-3

github.com

a collection of demos and articles about the OpenAI GPT-3 API.

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a collection of human preference datasets for LLM instruction tuning, RLHF and evaluation.

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RWKV-howto

github.com

possibly useful materials and tutorial for learning RWKV.

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ModelEditingPapers

github.com

A paper & resource list on model editing for large language models.

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