LeeyiMing's Stars
facebookresearch/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
AberHu/Knowledge-Distillation-Zoo
Pytorch implementation of various Knowledge Distillation (KD) methods.
digital-nomad-cheng/Iris_Landmarks_PyTorch
Iris landmarks localization.
photosynthesis-team/piq
Measures and metrics for image2image tasks. PyTorch.
DingXiaoH/RepVGG
RepVGG: Making VGG-style ConvNets Great Again
haitongli/knowledge-distillation-pytorch
A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility
jbwang1997/BboxToolkit
BboxToolkit is a tiny library of special bounding boxes.
rafaelpadilla/Object-Detection-Metrics
Most popular metrics used to evaluate object detection algorithms.
hwalsuklee/awesome-deep-text-detection-recognition
A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.
amusi/Non-Maximum-Suppression
描述非极大值抑制(Non-Maximum-Suppression,NMS)
vdumoulin/conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
ttroy50/cmake-examples
Useful CMake Examples
mniepert/mmkb
Several data modalities for KBs (visual, numerical, temporal, etc.)
intel-analytics/ipex-llm
Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL, MiniCPM-V, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discrete GPU such as Arc, Flex and Max); seamlessly integrate with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, vLLM, GraphRAG, DeepSpeed, Axolotl, etc
KrisKorrel/sparsemax-pytorch
Implementation of Sparsemax activation in Pytorch
StatsDLMathsRecomSys/Inductive-representation-learning-on-temporal-graphs
dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
databricks/Spark-The-Definitive-Guide
Spark: The Definitive Guide's Code Repository
yangkky/distributed_tutorial
yangji9181/HNE
Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond
NLP-LOVE/ML-NLP
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。
ZJULearning/time_lstm
jina-ai/clip-as-service
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
lixin4ever/Conference-Acceptance-Rate
Acceptance rates for the major AI conferences
zslucky/awesome-AI-books
Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning
safe-graph/graph-fraud-detection-papers
A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
datamllab/rlcard
Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
pytorch/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
leido/pytorch-prednet
PredNet implementation using PyTorch
FelixOpolka/STGCN-PyTorch
🚗 Implementation of spatio-temporal graph convolutional network with PyTorch