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Marlowe's Projects

cccl icon cccl

CUDA C++ Core Libraries

fairseq icon fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

funasr icon funasr

A Fundamental End-to-End Speech Recognition Toolkit

k2 icon k2

FSA/FST algorithms, differentiable, with PyTorch compatibility.

kaldi icon kaldi

kaldi-asr/kaldi is the official location of the Kaldi project.

kfr icon kfr

Fast, modern C++ DSP framework, FFT, Sample Rate Conversion, FIR/IIR/Biquad Filters (SSE, AVX, AVX-512, ARM NEON)

lhotse icon lhotse

Tools for handling speech data in machine learning projects.

llama2.c icon llama2.c

Inference Llama 2 in one file of pure C

nemo icon nemo

NeMo: a framework for generative AI

qlib icon qlib

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.

sherpa-ncnn icon sherpa-ncnn

Real-time speech recognition using next-gen Kaldi with ncnn without Internet connection. Support iOS, Android, Raspberry Pi, VisionFive2, etc.

tensorrt-llm icon tensorrt-llm

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.

wespeaker icon wespeaker

Research and Production Oriented Speaker Recognition Toolkit

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