ThePrometheusFollow
Stars
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
A self-supervised learning framework for audio-visual speech
Model interpretability and understanding for PyTorch
Code for the ECCV 2022 paper "Unleashing Transformers"
Scenic: A Jax Library for Computer Vision Research and Beyond
MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas lik…
Open standard for machine learning interoperability
OpenMMLab Detection Toolbox and Benchmark
Python package to corrupt arbitrary images.
TedEval: A Fair Evaluation Metric for Scene Text Detectors
Modified by icdar codes for OCR results evaluation(detection or end-to-end recognition results). For more details, please see my blog:
Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
End-to-End Object Detection with Transformers
RNNLIB is a recurrent neural network library for sequence learning problems. Forked from Alex Graves work http://sourceforge.net/projects/rnnl/
Tataxi is a prototype of a system for taxi drives managing.
elliottd / satyrid
Forked from kelvinxu/arctic-captionsMinimal and clean examples of machine learning algorithms implementations
A single jupyter notebook multi gpu VAE-GAN example with latent space algebra and receptive field visualizations.
A collection of data structures and algorithms puzzles