| guillaume-chevalier/LSTM-Human-Activity-Recognition |
3,074 |
|
0 |
0 |
over 3 years ago |
0 |
|
19 |
mit |
Jupyter Notebook |
| Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier |
| nidhaloff/igel |
3,037 |
|
0 |
0 |
about 3 years ago |
34 |
November 19, 2021 |
6 |
mit |
Python |
| a delightful machine learning tool that allows you to train, test, and use models without writing code |
| podgorskiy/ALAE |
2,850 |
|
0 |
0 |
about 5 years ago |
0 |
|
31 |
|
Python |
| [CVPR2020] Adversarial Latent Autoencoders |
| PetrochukM/PyTorch-NLP |
2,180 |
|
9 |
10 |
almost 3 years ago |
19 |
November 04, 2019 |
24 |
bsd-3-clause |
Python |
| Basic Utilities for PyTorch Natural Language Processing (NLP) |
| antirez/neural-redis |
2,176 |
|
0 |
0 |
over 7 years ago |
0 |
|
15 |
bsd-3-clause |
C |
| Neural networks module for Redis |
| github/CodeSearchNet |
2,054 |
|
0 |
0 |
about 4 years ago |
0 |
|
7 |
mit |
Jupyter Notebook |
| Datasets, tools, and benchmarks for representation learning of code. |
| google-research-datasets/Objectron |
1,958 |
|
0 |
0 |
over 3 years ago |
0 |
|
21 |
other |
Jupyter Notebook |
| Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes |
| prabhuomkar/pytorch-cpp |
1,710 |
|
0 |
0 |
over 2 years ago |
0 |
|
3 |
mit |
C++ |
| C++ Implementation of PyTorch Tutorials for Everyone |
| huggingface/transfer-learning-conv-ai |
1,499 |
|
0 |
0 |
over 3 years ago |
0 |
|
63 |
mit |
Python |
| 🦄 State-of-the-Art Conversational AI with Transfer Learning |
| victordibia/handtracking |
1,473 |
|
0 |
0 |
over 4 years ago |
0 |
|
15 |
mit |
Python |
| Building a Real-time Hand-Detector using Neural Networks (SSD) on Tensorflow |
