All Projects → yanshengjia → Ml Road

yanshengjia / Ml Road

Licence: mit
Machine Learning Resources, Practice and Research

Programming Languages

python
139335 projects - #7 most used programming language

Projects that are alternatives of or similar to Ml Road

Mongolian Speech Recognition
Mongolian speech recognition with PyTorch
Stars: ✭ 97 (-94.54%)
Mutual labels:  speech-recognition
Kaldi Gop
Computes the GMM-based Goodness of Pronunciation (GOP). Bases on Kaldi.
Stars: ✭ 104 (-94.14%)
Mutual labels:  speech-recognition
E2e Asr
PyTorch Implementations for End-to-End Automatic Speech Recognition
Stars: ✭ 106 (-94.03%)
Mutual labels:  speech-recognition
Audiomate
Python library for handling audio datasets.
Stars: ✭ 99 (-94.43%)
Mutual labels:  speech-recognition
Spokestack Python
Spokestack is a library that allows a user to easily incorporate a voice interface into any Python application.
Stars: ✭ 103 (-94.2%)
Mutual labels:  speech-recognition
Ios ml
List of Machine Learning, AI, NLP solutions for iOS. The most recent version of this article can be found on my blog.
Stars: ✭ 1,409 (-20.66%)
Mutual labels:  speech-recognition
Ktspeechcrawler
Automatically constructing corpus for automatic speech recognition from YouTube videos
Stars: ✭ 92 (-94.82%)
Mutual labels:  speech-recognition
Transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Stars: ✭ 55,742 (+3038.63%)
Mutual labels:  speech-recognition
Wav2letter.pytorch
A fully convolution-network for speech-to-text, built on pytorch.
Stars: ✭ 104 (-94.14%)
Mutual labels:  speech-recognition
Pansori
Tools for ASR Corpus Generation from Online Video
Stars: ✭ 106 (-94.03%)
Mutual labels:  speech-recognition
Vosk Api
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
Stars: ✭ 1,357 (-23.59%)
Mutual labels:  speech-recognition
Speech And Text
Speech to text (PocketSphinx, Iflytex API, Baidu API) and text to speech (pyttsx3) | 语音转文字(PocketSphinx、百度 API、科大讯飞 API)和文字转语音(pyttsx3)
Stars: ✭ 102 (-94.26%)
Mutual labels:  speech-recognition
Self Supervised Speech Recognition
speech to text with self-supervised learning based on wav2vec 2.0 framework
Stars: ✭ 106 (-94.03%)
Mutual labels:  speech-recognition
Factorized Tdnn
PyTorch implementation of the Factorized TDNN (TDNN-F) from "Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks" and Kaldi
Stars: ✭ 98 (-94.48%)
Mutual labels:  speech-recognition
Python Speech recognition
A simple example for use speech recognition baidu api with python.
Stars: ✭ 106 (-94.03%)
Mutual labels:  speech-recognition
Ai Study
人工智能学习资料超全整理,包含机器学习基础ML、深度学习基础DL、计算机视觉CV、自然语言处理NLP、推荐系统、语音识别、图神经网路、算法工程师面试题
Stars: ✭ 93 (-94.76%)
Mutual labels:  speech-recognition
Delta
DELTA is a deep learning based natural language and speech processing platform.
Stars: ✭ 1,479 (-16.72%)
Mutual labels:  speech-recognition
Kalliope
Kalliope is a framework that will help you to create your own personal assistant.
Stars: ✭ 1,509 (-15.03%)
Mutual labels:  speech-recognition
Deepspeechrecognition
A Chinese Deep Speech Recognition System 包括基于深度学习的声学模型和基于深度学习的语言模型
Stars: ✭ 1,421 (-19.99%)
Mutual labels:  speech-recognition
Bigcidian
Pronunciation lexicon covering both English and Chinese languages for Automatic Speech Recognition.
Stars: ✭ 99 (-94.43%)
Mutual labels:  speech-recognition

Machine Learning Road

Machine Learning Resources, Practice and Research.

Disclamier

The resources in this repo are only for educational purpose. Do not use resources in this repo for any form of commercial purpose.

If the author of ebook found your intelligence proprietary violated because of contents in this repo, please contact me and I will remove relevant stuff ASAP.


Courses

Course Name Institution Lecturer Link Category
Machine Learning Coursera Andrew Ng [Coursera][Bilibili][Youtube] Machine Learning
Machine Learning Foundations National Taiwan University Hsuan-Tien Lin [Bilibili][Youtube] Machine Learning
Machine Learning Techniques National Taiwan University Hsuan-Tien Lin [Bilibili][Youtube] Machine Learning
Machine Learning Stanford Andrew Ng [Netease][Youtube] Machine Learning
Deep Learning deeplearning.ai Andrew Ng [Netease][Coursera] Deep Learning
CS231n: Convolutional Neural Networks for Visual Recognition Stanford Fei-Fei Li [Homepage][Youtube] Deep Learning, Computer Vision
CS224n: Natural Language Processing with Deep Learning Stanford Christopher Manning [Homepage][Youtube] Deep Learning, NLP
Deep Learning for Natural Language Processing Oxford University Phil Blunsom [Homepage][Slides] Deep Learning, NLP
Applied Deep Learning / Machine Learning and Having It Deep and Structured National Taiwan University Yun-Nung Chen, Hung-Yi Lee [Homepage][Youtube] Machine Learning, Deep Learning
CS 20: TensorFlow for Deep Learning Research Stanford Chip Huyen [Homepage][Github] Deep Learning
CS 294: Deep Reinforcement Learning UC Berkeley Sergey Levine [Homepage][Youtube] Deep Learning, Reinforcement Learning
Neural Networks for NLP CMU Graham Neubig [Homepage] NLP, Deep Learning
Mathematics of Deep Learning NYU Joan Bruna [Github] Deep Learning
Introduction to NLP Stanford Dan Jurafsky, Chris Manning [Youtube] NLP
Text Mining and Analytics UIUC ChengXiang Zhai [Coursera] NLP
Machine Learning Crash Course with TensorFlow APIs Google Google [Homepage] Machine Learning, Tensorflow
CS230: Deep Learning Stanford Andrew Ng, Kian Katanforoosh [Homepage] Deep Learning
Intro to Deep Learning with PyTorch Facebook AI Facebook AI [Udacity] Deep Learning, PyTorch
Introduction to Deep Learning UC Berkeley Alex Smola, Mu Li [Youtube][GitHub] Deep Learning
Foundations of Machine Learning NYU Mehryar Mohri [Homepage] Machine Learning
DS1003 Machine Learning NYU Julia Kempe, David Rosenberg [Homepage][Slides] [Youtube][Assignments] Machine Learning
TensorFlow in Practice Coursera Laurence Moroney [Coursera] TensorFlow
DS-GA 1008 Deep Learning NYU Yann LeCun, Alfredo Canziani [Homepage] [YouTube][Bilibili] Deep Learning, PyTorch
Deep Learning for Human Language Processing National Taiwan University Hung-yi Lee [Homepage] [YouTube] Deep Learning, NLP

Books

Book Name Author Link Category
机器学习 周志华 [Amazon][JD] Machine Learning
Deep Learning Ian Goodfellow, Yoshua Bengio, Aaron Courville [PDF][中文版] Deep Learning
Machine Learning Tom Mitchell [PDF] Machine Learning
Pattern Recogniton and Machine Learning Christopher Bishop [PDF][中文版] Machine Learning
The Elements of Statistical Learning Trevor Hastie, Robert Tibshirani, Jerome Friedman [PDF] Machine Learning
Data Mining: Practical Machine Learning Tools and Techniques Ian H. Witten, Eibe Frank [PDF] Data Mining
Artificial Intelligence: A Modern Approach Sturart J. Russell, Peter Norvig [PDF] AI
Machine Learning: A Probabilistic Perspective Kevin P. Murphy [PDF] Machine Learning
Natural Language Processing with Python Stven Bird, Ewan Klein, Edward Loper [PDF][Link] NLP
Getting Started with Tensorflow Giancarlo Zaccone [PDF] Tensorflow
Hands-On Machine Learning with Scikit-Learn and TensorFlow Aurélien Géron [PDF][Github] Machine Learning
Deep Learning with Python François Chollet [PDF][Github] Deep Learning
Probabilistic Graphical Models: Principles and Techniques Daphne Koller, Nir Friedman [PDF] Probabilistic Graphical Model
Speech and Language Processing Dan Jurafsky, James H. Martin [Homepage][PDF] NLP
Neural Network Methods for Natural Language Processing Yoav Goldberg [PDF] NLP
统计学习方法 李航 [Amazon] Machine Learning
Natural Language Processing Jacob Eisenstein [PDF] NLP
Dive into Deep Learning 动手学深度学习 Aston Zhang, Mu Li, Zachary C.Lipton, Alexander J.Smola [中文版] [PDF] [Website] [GitHub] [Jupyter] Deep Learning
Feature Engineering for Machine Learning Alice Zheng, Amanda Casari [PDF][译] Machine Learning, Feature Engineering
Machine Learning Yearning Andrew Ng [译][在线阅读] Machine Learning
Foundations of Machine Learning Mehryar Mohri [PDF][HomePage] Machine Learning

Papers

NLP

  • Tixier A J P. Notes on Deep Learning for NLP[J]. arXiv preprint arXiv:1808.09772, 2018. [Link]
Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].