| zhanghang1989/PyTorch-Encoding |
1,974 |
|
1 |
0 |
about 3 years ago |
130 |
August 08, 2020 |
143 |
mit |
Python |
| A CV toolkit for my papers. |
| AxeldeRomblay/MLBox |
1,403 |
|
0 |
0 |
about 3 years ago |
21 |
August 25, 2020 |
26 |
other |
Python |
| MLBox is a powerful Automated Machine Learning python library. |
| kexinhuang12345/DeepPurpose |
826 |
|
0 |
0 |
over 2 years ago |
13 |
October 26, 2021 |
12 |
bsd-3-clause |
Jupyter Notebook |
| A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics) |
| RelevanceAI/vectorhub |
525 |
|
0 |
1 |
over 3 years ago |
45 |
September 28, 2021 |
8 |
apache-2.0 |
Python |
| Vector Hub - Library for easy discovery, and consumption of State-of-the-art models to turn data into vectors. (text2vec, image2vec, video2vec, graph2vec, bert, inception, etc) |
| ashishpatel26/Amazing-Feature-Engineering |
485 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself. |
| tatp22/multidim-positional-encoding |
429 |
|
0 |
0 |
over 2 years ago |
14 |
June 17, 2022 |
1 |
mit |
Python |
| An implementation of 1D, 2D, and 3D positional encoding in Pytorch and TensorFlow |
| vector-ai/vectorai |
299 |
|
0 |
4 |
over 2 years ago |
9 |
June 04, 2021 |
12 |
apache-2.0 |
Python |
| Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors. |
| guillaume-be/rust-tokenizers |
232 |
|
0 |
7 |
over 2 years ago |
34 |
October 01, 2023 |
4 |
apache-2.0 |
Rust |
| Rust-tokenizer offers high-performance tokenizers for modern language models, including WordPiece, Byte-Pair Encoding (BPE) and Unigram (SentencePiece) models |
| Vadikus/practicalDL |
176 |
|
0 |
0 |
about 4 years ago |
0 |
|
0 |
apache-2.0 |
Jupyter Notebook |
| A Practical Guide to Deep Learning with TensorFlow 2.0 and Keras materials for Frontend Masters course |
| songtaohe/Sat2Graph |
112 |
|
0 |
0 |
about 3 years ago |
0 |
|
11 |
mit |
OpenEdge ABL |
| Sat2Graph: Road Graph Extraction through Graph-Tensor Encoding |
