ZLkanyo009/flappy-bird-tensorflow2-DQN
DQN flappy bird with tensorflow2
DQN flappy bird with tensorflow2
QAT(quantize aware training) for classification with MQBench
AiTer Optimized Model
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
基于FPGA量化的人脸口罩检测
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 Loihi and Tianjic.
AI Tensor Engine for ROCm
FlagScale is a Large Language Model (LLM) toolkit based on open-sourced projects.
FlagPerf is an open-source software platform for benchmarking AI chips.
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
SGLang is a fast serving framework for large language models and vision language models.
Pong-Reinforcement-Learning Here
a simple quantize frame
YOLO-Deployment-in-c-language
PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.
YOLOv5 Series Multi-backbone(TPH-YOLOv5, Ghostnet), Pruning and quantization Compression Tool Box.
Model Quantization Benchmark
note about IC knowledge
YOLO ModelCompression MultidatasetTraining
Digital image processing basic algorithm there
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
Data structure algorithm here
Image database search algorithm based on Neural Network here.