Docs for Flowise

DeepSeek LLM: Let there be answers

🐍 A simple template to start to code your own and personalized Discord bot in Python

Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI

The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.

Gmail Processor is a Google Apps Script library that automates the processing of Gmail messages and attachments and execute actions (e.g. store attachments in a GDrive folder, log information in a …

Awesome-LLM: a curated list of Large Language Model

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

scikit-learn: machine learning in Python

Draft of NumPy paper

Manual de Chatbot do Login Único

Code for the paper "Improved Techniques for Training GANs"

Example code for Weight Normalization, from "Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks"

Code for the blog post "Learning Montezuma’s Revenge from a Single Demonstration"

Code for the Neural GPU model originally described in "Neural GPUs Learn Algorithms"

Code for the paper "Improving GANs Using Optimal Transport"

Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"

Code for the paper "Generative Adversarial Imitation Learning"

Code for the paper "Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks"

Code for the paper "World of Bits: An Open-Domain Platform for Web-Based Agents"

Code for the paper "Evolved Policy Gradients"

Code for the blog post "Learning Montezuma’s Revenge from a Single Demonstration"

Code and model for the paper "Improving Language Understanding by Generative Pre-Training"

Code for the paper "Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments"

Code for the paper "DeepType: Multilingual Entity Linking by Neural Type System Evolution"

Code for the paper "Meta-Learning Shared Hierarchies"

Code for the paper "Emergent Complexity via Multi-agent Competition"

Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"