用纯 RNN 架构的 RWKV 语言模型驱动的开源聊天机器人,效果对标 ChatGPT,可在本地部署运行。
RWKV 是一种兼具 RNN 与 Transformer 优势的语言模型架构,支持像 GPT 一样并行训练,推理时线性时间、常量显存、无限上下文,无需 KV 缓存。
用 5 秒语音样本克隆音色,实时合成任意文本的语音,基于 PyTorch/TensorFlow 的说话人编码与声码器流水线。
从 PDF 学术论文中自动抽取标题、作者、参考文献等结构化元数据的机器学习工具,支持全文解析与引文提取。
配套 PyTorch 深度学习课程的开源教程与代码,从零基础讲到能独立训练模型,适合边看边动手练。
…nference ( 15666). - Streaming ASR gained Unified RNNT inference, batched streaming beam search, simulated chunked transducer decoding, streaming speech translation, and
…hen only single usable textline - Keras OCR ( cnn-rnn-ocr ): training.models : correct config names for height and width utils ocr : rare errors run single() w/o overwrit
…GB 9.23 GB peak (with GC) first version that fits RNN-T value and grad (B=2 T=128 U=32 V=64) 491 ms 330 ms 1.49× (bit-exact) Embedding training (16 steps, post-bucketing)
Attached model : ctx1024-layer6-emb512 on enwik8 with 1.65 dev perplexity (0.72 BPC)
…ing layer. Added layers for sequence model, LSTM, RNN, GRU. Added activation and weight compression notebook. Added QSeparableConv2D class Renamed previous QSeparableConv
1. Initial implementation for RNN operators including GRU (Gated Recurrent Unit) cell, LSTM (Long Short-Term Memory) cell (no support for peephole yet) by matching the ce