steve's repositories
AcademiCodec
AcademiCodec: An Open Source Audio Codec Model for Academic Research
adahessian
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
bolt
10x faster matrix and vector operations
byteps
A high performance and generic framework for distributed DNN training
CLSR
The official implementation of "Disentangling Long and Short-Term Interests for Recommendation" (WWW '22)
conformer
[Unofficial] PyTorch implementation of "Conformer: Convolution-augmented Transformer for Speech Recognition" (INTERSPEECH 2020)
diplomacy_cicero
Code for Cicero, an AI agent that plays the game of Diplomacy with open-domain natural language negotiation.
dpro
Analysis for the traces from byteprofile
fairseq-apollo
FairSeq repo with Apollo optimizer
fast-transformers
Pytorch library for fast transformer implementations
flash-attention
Fast and memory-efficient exact attention
frnet
The Source Code of FRNet
gdfm_nips22
code of Generalized Delayed Feedback Model with Post-Click Information in Recommender Systems, NeurIPS 2022
Gemini
The open source implementation of Gemini, the model that will "eclipse ChatGPT" by Google
mar
PyTorch implementation of MAR+DiffLoss https://arxiv.org/abs/2406.11838
MobileLLM
MobileLLM Optimizing Sub-billion Parameter Language Models for On-Device Use Cases. In ICML 2024.
p4app-switchML
Switch ML Application
pretraining-with-human-feedback
Code accompanying the paper Pretraining Language Models with Human Preferences
SALMONN
SALMONN: Speech Audio Language Music Open Neural Network
SCM4LLMs
Self-Controlled Memory System for LLMs
seamless_communication
Foundational Models for State-of-the-Art Speech and Text Translation
SpeechGPT
SpeechGPT Series: Speech Large Language Models
tart
Code and model release for the paper "Task-aware Retrieval with Instructions" by Asai et al.
UniCATS-CTX-vec2wav
[AAAI 2024] Code for CTX-vec2wav in UniCATS
USM
Implementation of Google's USM speech model in Pytorch
vall-e
PyTorch implementation of VALL-E(Zero-Shot Text-To-Speech), Reproduced Demo https://lifeiteng.github.io/valle/index.html