LSTM for Human Activity Recognition
Gated Recurrent Units (GRU)
Gated Recurrent Units (GRU)
Deep Belief Networks Tutorial
Awesome Network Embedding
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Understanding Natural Language with Deep Neural Networks Using Torch
. (Tutorial here)
Gaussian LDA for Topic Models with Word Embeddings
Implementation of various topic models in Python
How to tune RF parameters in practice?
GitHub Project
Python Flask App running with the Google AI Gemini API, designed to get you started building with Gemini's multi-modal capabilities
React-based starter app for using the Multimodal Live API over a websocket
A fullstack application using a React frontend and a LangGraph-powered backend agent
A collection of small apps that demonstrate how Gemini can be used to create interactive experiences
Go
Java
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Explore examples and solutions for using Claude on AWS infrastructure.
First-generation reasoning models from DeepSeek.
MoE language model with 32B active and 1T total parameters.
LLM hallucination paper list.
List of papers on hallucination detection in LLMs.
A curated list of practical guide resources of LLMs
A Chinese collection of prompt examples to be used with the ChatGPT model.
Curated list of resources for ChatGPT and GPT-3 from OpenAI.
A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models.
How to ask LLMs to produce reliable reasoning and make reason-responsive decisions.
A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).
A paper & resource list of large language models.
Collection of papers and resources on Reasoning using Language Models.
Measuring LLMs' Reasoning Performance
A curated list of awesome projects and resources related to GPT, ChatGPT, OpenAI, LLM, and more.
a collection of demos and articles about the OpenAI GPT-3 API.
a collection of human preference datasets for LLM instruction tuning, RLHF and evaluation.
possibly useful materials and tutorial for learning RWKV.
A paper & resource list on model editing for large language models.