| microsoft/AI-For-Beginners |
26,668 |
|
0 |
0 |
about 2 years ago |
0 |
|
64 |
mit |
Jupyter Notebook |
| 12 Weeks, 24 Lessons, AI for All! |
| microsoft/computervision-recipes |
9,225 |
|
0 |
0 |
about 2 years ago |
0 |
|
66 |
mit |
Jupyter Notebook |
| Best Practices, code samples, and documentation for Computer Vision. |
| tangyudi/Ai-Learn |
7,757 |
|
0 |
0 |
over 2 years ago |
0 |
|
20 |
|
|
| 人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域 |
| nl8590687/ASRT_SpeechRecognition |
7,253 |
|
0 |
0 |
about 2 years ago |
1 |
October 23, 2020 |
101 |
gpl-3.0 |
Python |
| A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统 |
| OAID/Tengine |
4,452 |
|
0 |
0 |
over 2 years ago |
0 |
|
244 |
apache-2.0 |
C++ |
| Tengine is a lite, high performance, modular inference engine for embedded device |
| datawhalechina/competition-baseline |
3,773 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
gpl-3.0 |
Jupyter Notebook |
| 数据挖掘、计算机视觉、自然语言处理、推荐系统竞赛知识、代码、思路 |
| TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials |
3,436 |
|
0 |
0 |
almost 3 years ago |
0 |
|
152 |
other |
Python |
| A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more. |
| BoltzmannEntropy/interviews.ai |
3,146 |
|
0 |
0 |
about 4 years ago |
0 |
|
4 |
|
|
| It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well. |
| jiesutd/NCRFpp |
1,862 |
|
0 |
0 |
almost 4 years ago |
1 |
March 16, 2022 |
5 |
apache-2.0 |
Python |
| NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components. |
| adobe/antialiased-cnns |
1,607 |
|
0 |
6 |
about 3 years ago |
6 |
October 23, 2020 |
15 |
other |
Python |
| pip install antialiased-cnns to improve stability and accuracy |
