chevalierNoir

Pinned Repositories

A2W-Segmental
Whole-Word Segmental Speech Recognition with Acoustic Word Embeddings (SLT'2021)
Language:Python20
asl-iter-attn
ASL Fingerspelling recognition in the wild
Language:Python12 2 04
CTCDecoder
Connectionist Temporal Classification (CTC) decoding algorithms: best path, prefix search, beam search and token passing. Implemented in Python.
Language:Python00
fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Language:Python00
FS-Detection
Code for paper "Fingerspelling detection in American Sign Language"
Language:Python18 2 11
ImageBind
ImageBind One Embedding Space to Bind Them All
Language:Python0 0 01
MetaCLIP
ICLR2024 Spotlight: curation/training code, metadata, distribution and pre-trained models for MetaCLIP; CVPR 2024: MoDE: CLIP Data Experts via Clustering
Language:Python0 0 00
OpenASL
A Large-Scale Open-Domain Sign Language Translation Dataset (ASL-English)
Language:Python54 6 87
pychain
PyTorch implementation of LF-MMI for End-to-end ASR
Language:C++00
pyrcca
Regularized kernel canonical correlation analysis in Python
Language:Jupyter Notebook0 2 00

chevalierNoir's Repositories

chevalierNoir/OpenASL
A Large-Scale Open-Domain Sign Language Translation Dataset (ASL-English)
Language:Python54 6 87
chevalierNoir/FS-Detection
Code for paper "Fingerspelling detection in American Sign Language"
Language:Python18 2 11
chevalierNoir/asl-iter-attn
ASL Fingerspelling recognition in the wild
Language:Python12 2 04
chevalierNoir/A2W-Segmental
Whole-Word Segmental Speech Recognition with Acoustic Word Embeddings (SLT'2021)
Language:Python20
chevalierNoir/CTCDecoder
Connectionist Temporal Classification (CTC) decoding algorithms: best path, prefix search, beam search and token passing. Implemented in Python.
Language:Python00
chevalierNoir/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Language:Python00
chevalierNoir/ImageBind
ImageBind One Embedding Space to Bind Them All
Language:Python0 0 01
chevalierNoir/MetaCLIP
ICLR2024 Spotlight: curation/training code, metadata, distribution and pre-trained models for MetaCLIP; CVPR 2024: MoDE: CLIP Data Experts via Clustering
Language:Python0 0 00
chevalierNoir/pychain
PyTorch implementation of LF-MMI for End-to-end ASR
Language:C++00
chevalierNoir/pyrcca
Regularized kernel canonical correlation analysis in Python
Language:Jupyter Notebook0 2 00
chevalierNoir/warp-ctc
Pytorch Bindings for warp-ctc maintained by ESPnet
Language:Cuda0 1 00