Implementation of "TrackFormer: Multi-Object Tracking with Transformers”. [Conference on Computer Vision and Pattern Recognition (CVPR), 2022]

Spatial Sparse Convolution Library

A tool to modify ONNX models in a visualization fashion, based on Netron and Flask.

Open deep learning compiler stack for cpu, gpu and specialized accelerators

A cloud-native vector database, storage for next generation AI applications

Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

LLVM IR入门指南

A GPU performance profiling tool for PyTorch models

Convolutional Neural Networks

Training and Detecting Objects with YOLO3

🔥 TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement"

keras-yolo3 code forked from experiencor/keras-yolo3. Modification made for convenient usage and better training performance. Yolov3-tiny are supported.

Official implementations of PSENet, PAN and PAN++.

Models and examples built with TensorFlow

STBP is a way to train SNN with datasets by Backward propagation.Using this Repositories allows you to train SNNS with STBP and quantize SNNS with QAT to deploy to neuromorphological chips like Loi…

A simple direct training implement for SNNs using Spatio-Temporal Backpropagation

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

ccache – a fast compiler cache

PyDTNN - Python Distributed Training of Neural Networks

A Java implemented Texas holdem and short deck Solver

Models and examples built with OneFlow

Implementation of some interesting ideas of deeplearning.

PyTorch implementation of "Generalized End-to-End Loss for Speaker Verification" by Wan, Li et al.

kaldi-asr/kaldi is the official location of the Kaldi project.

Chia blockchain python implementation (full node, farmer, harvester, timelord, and wallet)

AutoML tools chain

MOT using deepsort and yolov3 with pytorch

OpenMMLab Computer Vision Foundation