Interesting links, 01/02/2024
Misc. interesting things.
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MatFormer: Nested Transformer for Elastic Inference
What Do Self-Supervised Speech Models Know About Words?
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RAIVNLab/MatFormer-OLMo — Code repository for the public reproduction of the language modelling experiments on “MatFormer: Nested Transformer for Elastic Inference”
arcee-ai/mergekit — Tools for merging pretrained large language models.
OWSM v3.1: Better and Faster Open Whisper-Style Speech Models based on E-Branchformer
E-Branchformer: Branchformer with Enhanced merging for speech recognition
PAM: Prompting Audio-Language Models for Audio Quality Assessment, no code yet
ChatQA: Building GPT-4 Level Conversational QA Models
3 Advanced Document Retrieval Techniques To Improve RAG Systems
Efficiently Modeling Long Sequences with Structured State Spaces, code
Alignment-Length Synchronous Decoding for RNN Transducer
Lingit uttaleleksikon for nynorsk
LIA sápmi – LIA-korpuset for samiske dialekter
collabora/WhisperSpeech — An Open Source text-to-speech system built by inverting Whisper. Space
Fast Lexically Constrained Decoding with Dynamic Beam Allocation for Neural Machine Translation
SentenceTransformer: A Model For Computing Sentence Embedding
CLAP Learning Audio Concepts from Natural Language Supervision, code
MambaByte: Token-free Selective State Space Model
kyegomez/MambaByte — Implementation of MambaByte in “MambaByte: Token-free Selective State Space Model” in Pytorch and Zeta
Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model, code
Matryoshka Representation Learning, code
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BlackMamba: Mixture of Experts for State-Space Models, code
V-IRL: Grounding Virtual Intelligence in Real Life
MM-LLMs: Recent Advances in MultiModal Large Language Models
Training-Free Consistent Text-to-Image Generation
RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval, no code yet
Compressing Transformer-based self-supervised models for speech processing
AdANNS: A Framework for Adaptive Semantic Search, code
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Listen, Chat, and Edit: Text-Guided Soundscape Modification for Enhanced Auditory Experience
Self-Discover: Large Language Models Self-Compose Reasoning Structures
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REBORN: Reinforcement-Learned Boundary Segmentation with Iterative Training for Unsupervised ASR
Background Removal w/ 🤗 Transformers.js
Scaling Laws for Downstream Task Performance of Large Language Models
Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks
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Fast Timing-Conditioned Latent Audio Diffusion, code
StreamVoice: Streamable Context-Aware Language Modeling for Real-time Zero-Shot Voice Conversion
LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation, code, weights, space
segmind/segmoe — Segmind Mixture of Diffusion Experts, blog
Unified Speech-Text Pretraining for Spoken Dialog Modeling
Memory Consolidation Enables Long-Context Video Understanding
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CNChTu/FCPE — fast pitch estimator using Transformer
SpiRit-LM: Interleaved Spoken and Written Language Model
Multilingual E5 Text Embeddings: A Technical Report, code
Learning to Route Among Specialized Experts for Zero-Shot Generalization, code
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idT5: Indonesian Version of Multilingual T5 Transformer
mT6: Multilingual Pretrained Text-to-Text Transformer with Translation Pairs
Self-Discover: Large Language Models Self-Compose Reasoning Structures
Efficient Exploration for LLMs
Can Large Language Models Understand Context?
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K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters, code
CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay
Resource List for Learning Hungarian, doc
Accelerating RNN Transducer Inference via Adaptive Expansion Search
gemelo-ai/vocos — Vocos: Closing the gap between time-domain and Fourier-based neural vocoders for high-quality audio synthesis
CPJKU/onset_detection — Python implementation of the most common spectral based onset detection algorithms.
A Hackers’ Guide to Language Models
veeresht/CommPy — Digital Communication with Python
RVC-Project/Retrieval-based-Voice-Conversion-WebUI
Diff-HierVC: Diffusion-based Hierarchical Voice Conversion with Robust Pitch Generation and Masked Prior for Zero-shot Speaker Adaptation, demo
Affective and Dynamic Beam Search for Story Generation
Automatic vocal tract landmark localization from midsagittal MRI data, code
lucidrains/phenaki-pytorch — Implementation of Phenaki Video, which uses Mask GIT to produce text guided videos of up to 2 minutes in length, in Pytorch
Describing Differences in Image Sets with Natural Language, code
google-research/multinerf — A Code Release for Mip-NeRF 360, Ref-NeRF, and RawNeRF
vasistalodagala/whisper-finetune — Fine-tune and evaluate Whisper models for Automatic Speech Recognition (ASR) on custom datasets or datasets from huggingface.
lucidrains/CALM-pytorch — Implementation of CALM from the paper “LLM Augmented LLMs: Expanding Capabilities through Composition”, out of Google Deepmind
lucidrains/llama-qrlhf — Implementation of the Llama architecture with RLHF + Q-learning
Robust Speech Recognition via Large-Scale Weak Supervision
ActiveVisionLab/Awesome-LLM-3D — Awesome-LLM-3D: a curated list of Multi-modal Large Language Model in 3D world Resources
Are Emergent Abilities of Large Language Models a Mirage?
facebookresearch/Pearl — A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.
metavoiceio/metavoice-src — Foundational model for human-like, expressive TTS
lucidrains/retro-pytorch — Implementation of RETRO, Deepmind’s Retrieval based Attention net, in Pytorch
The Illustrated Retrieval Transformer
lifeiteng/vall-e — PyTorch implementation of VALL-E(Zero-Shot Text-To-Speech), Reproduced Demo
Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning
cisnlp/simalign — Obtain Word Alignments using Pretrained Language Models (e.g., mBERT)
Speech Recognition for Minority Languages Using HuBERT and Model Adaptation
Textually Pretrained Speech Language Models
An Embarrassingly Simple Approach for LLM with Strong ASR Capacity
Exploiting Nonlinear Recurrence and Fractal Scaling Properties for Voice Disorder Detection
Large-scale Contrastive Language-Audio Pretraining with Feature Fusion and Keyword-to-Caption Augmentation, code
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MiniCPM: Unveiling the Potential of End-side Large Language Models, code
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Review — Flamingo: A Visual Language Model for Few-Shot Learning
Multimodal Language Models Explained: Visual Instruction Tuning
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Mixtures of Experts Unlock Parameter Scaling for Deep RL
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Cohere for AI launches open source LLM for 101 languages
BAAI-DCAI/Bunny — A family of lightweight multimodal models.
theodorblackbird/lina-speech seems interesting, but it’s not open source, so I don’t care.
Large Language Models, GPT-2 — Language Models Are Unsupervised Multitask Learners
vosen/ZLUDA — CUDA on AMD GPUs