| huggingface/transformers |
119,240 |
|
64 |
2,484 |
about 2 years ago |
125 |
November 15, 2023 |
946 |
apache-2.0 |
Python |
| 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX. |
| emilwallner/Screenshot-to-code |
14,132 |
|
0 |
0 |
almost 4 years ago |
0 |
|
17 |
other |
HTML |
| A neural network that transforms a design mock-up into a static website. |
| roboticcam/machine-learning-notes |
7,461 |
|
0 |
0 |
almost 3 years ago |
0 |
|
25 |
|
Jupyter Notebook |
| My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(2000+页)和视频链接 |
| huseinzol05/Stock-Prediction-Models |
6,233 |
|
0 |
0 |
almost 3 years ago |
0 |
|
46 |
apache-2.0 |
Jupyter Notebook |
| Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations |
| wb14123/seq2seq-couplet |
5,447 |
|
0 |
0 |
about 3 years ago |
0 |
|
8 |
agpl-3.0 |
Python |
| Play couplet with seq2seq model. 用深度学习对对联。 |
| NELSONZHAO/zhihu |
3,228 |
|
0 |
0 |
almost 5 years ago |
0 |
|
31 |
|
Jupyter Notebook |
| This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code. |
| Conchylicultor/DeepQA |
2,878 |
|
0 |
0 |
over 3 years ago |
0 |
|
95 |
apache-2.0 |
Python |
| My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot |
| golbin/TensorFlow-Tutorials |
2,108 |
|
0 |
0 |
over 3 years ago |
0 |
|
23 |
|
Python |
| 텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다 |
| Delta-ML/delta |
1,556 |
|
0 |
0 |
over 2 years ago |
3 |
March 27, 2020 |
2 |
apache-2.0 |
Python |
| DELTA is a deep learning based natural language and speech processing platform. |
| IBM/pytorch-seq2seq |
1,419 |
|
0 |
0 |
over 3 years ago |
0 |
|
37 |
apache-2.0 |
Python |
| An open source framework for seq2seq models in PyTorch. |