Popular GitHub Repositories for Front Wheel Feedback

??? 60+ Implementations/tutorials of deep learning papers with side-by-side notes ?; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ? reinforcement learning (ppo, dqn), capsnet, distillation, ... ?

pix2code: Generating Code from a Graphical User Interface Screenshot

TensorZero creates a feedback loop for optimizing LLM applications — turning production data into smarter, faster, and cheaper models.

Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM

A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)

Align Anything: Training All-modality Model with Feedback

A curated list of reinforcement learning with human feedback resources (continually updated)

Every front-end GUI client for ChatGPT, Claude, and other LLMs

Tensorflow prebuilt binary for Windows

A procedural Blender pipeline for photorealistic training image generation

Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.

Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)

推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

DELTA is a deep learning based natural language and speech processing platform. LF AI & DATA Projects: https://lfaidata.foundation/projects/delta/

Safe RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback

Official front-end implementation of ComfyUI

Textbook on reinforcement learning from human feedback

This repository collects papers for "A Survey on Knowledge Distillation of Large Language Models". We break down KD into Knowledge Elicitation and Distillation Algorithms, and explore the Skill & Vertical Distillation of LLMs.

A library created to revitalize C++ as a machine learning front end. Per aspera ad astra.