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Lists (12)
Starred repositories
《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
An AI-Powered Speech Processing Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Enhancement, Separation, and Target Speaker Extraction, etc.
Perplexica is an AI-powered search engine. It is an Open source alternative to Perplexity AI
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
A collection of projects designed to help developers quickly get started with building deployable applications using the Anthropic API
A deep neural network architecture for low-latency audio processing
This repo summarizes the tutorials, datasets, papers, codes and tools for speech separation and speaker extraction task. You are kindly invited to pull requests.
The implementation of "X-TF-GridNet: A Time-Frequency Domain Target Speaker Extraction Network with Adaptive Speaker Embedding Fusion", which is accepted by Information Fusion.
Speech Denoising project for the Deep Learning course at Tsinghua University, spring 2021
A novel human-interaction method for real-time speech extraction on headphones.
A list of recordings of talks given in the Tekna Network for Developers
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Updated May 7, 2024
Autonomous coding agent right in your IDE, capable of creating/editing files, executing commands, using the browser, and more with your permission every step of the way.
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are commi…
My own notes, implementations, and musings for MIT's graduate course in machine learning, 6.867
深度学习入门教程, 优秀文章, Deep Learning Tutorial
The codes for recent knowledge distillation algorithms and benchmark results via TF2.0 low-level API
real time face swap and one-click video deepfake with only a single image
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
Get up and running with Llama 3.3, Mistral, Gemma 2, and other large language models.
A playbook for systematically maximizing the performance of deep learning models.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…