Popular GitHub Repositories for Co Decoding

Awesome Knowledge Distillation

Imitation learning algorithms with Co-training for Mobile ALOHA: ACT, Diffusion Policy, VINN

LightSeq: A High Performance Library for Sequence Processing and Generation

Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

? Build your chatbot within minutes on your favorite device; offer SOTA compression techniques for LLMs; run LLMs efficiently on Intel Platforms?

Building Startups with an AI Co-Founder

"AI-Researcher: Fully-Automated Scientific Discovery with LLM Agents" & "Open-Sourced Alternative to Google AI Co-Scientist"

Large-scale LLM inference engine

Connectionist Temporal Classification (CTC) decoding algorithms: best path, beam search, lexicon search, prefix search, and token passing. Implemented in Python.

A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)

EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.

Code for producing Japanese pretrained models provided by rinna Co., Ltd.

Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"

[ICLR 2021, Spotlight] Large Scale Image Completion via Co-Modulated Generative Adversarial Networks

Official implementation for the paper "Deep ViT Features as Dense Visual Descriptors".

Implementation of One-Shot Object Detection with Co-Attention and Co-Excitation in Pytorch

Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are looking for co-authors to take this project forward. Reach out @ ms8909@nyu.edu

Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor

DGMs for NLP. A roadmap.