EverestRs's repositories
awesome-llm-time-series
tracking papers, datasets, and models of "large language model (LLM) for time series"
Depth-Anything
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
FedKit
Mobile Federated Learning development kit for FedCampus
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
depth-anything-tensorrt
Unofficial cpp implementation of depth-anything model using tensorrt api.
TinyML_and_Efficient_DLC
TinyML and Efficient Deep Learning Computing | MIT 6.S965 Fall 2022
DeepLearningSystem
Deep Learning System core principles introduction.
Atlas-200I-DK-A2
IoT-昇腾开发教程
Spresense-Playground
Let's Play Spresense!
TinyChatEngine
TinyChatEngine: On-Device LLM Inference Library
torchsparse
TorchSparse: Efficient Training and Inference Framework for Sparse Convolution on GPUs.
awesome-ai-tutorials
The best collection of AI tutorials to make you a boss of Data Science!
LoRA
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
uTensor
TinyML AI inference library
openvino
OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
openvino_notebooks
📚 Jupyter notebook tutorials for OpenVINO™
open_model_zoo
Pre-trained Deep Learning models and demos (high quality and extremely fast)
ppl.nn
A primitive library for neural network
IoT-Hardware
IoT学习硬件的一些文档视频资源，以及整个的学习路程，大家可以一起探讨交流
cv_note
记录cv算法工程师的成长之路，分享计算机视觉和模型压缩部署技术栈笔记。https://harleyszhang.github.io/cv_note/
Depth-Anything-ONNX
ONNX-compatible Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
Awesome-Federated-Machine-Learning
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
mmpose
OpenMMLab Pose Estimation Toolbox and Benchmark.
mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
efficientvit
EfficientViT is a new family of vision models for efficient high-resolution vision.
Yolo-FastestV2
:zap: Based on Yolo's low-power, ultra-lightweight universal target detection algorithm, the parameter is only 250k, and the speed of the smart phone mobile terminal can reach ~300fps+
ppq
PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.
yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
CMU10414
深度学习推理框架