beoy's repositories
albumentations
Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
awesome-multimodal-ml
Reading list for research topics in multimodal machine learning
ColossalAI
Colossal-AI: A Unified Deep Learning System for Big Model Era
deeplab2
DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks.
DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
ghidra
Ghidra is a software reverse engineering (SRE) framework
glow
Compiler for Neural Network hardware accelerators
HIPT
Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)
label-studio
Label Studio is a multi-type data labeling and annotation tool with standardized output format
labelme
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
lakeFS
Git-like capabilities for your object storage
latent-diffusion
High-Resolution Image Synthesis with Latent Diffusion Models
Megatron-DeepSpeed
Ongoing research training transformer language models at scale, including: BERT & GPT-2
Megatron-LM
Ongoing research training transformer models at scale
mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
multimodal
TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.
neural-compressor
SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX Runtime
NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
oneAPI-samples
Samples for Intel® oneAPI Toolkits
oneflow
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
openvino
OpenVINO™ Toolkit repository
pytorch-cppcuda-tutorial
tutorial for writing custom pytorch cpp+cuda kernel, applied on volume rendering (NeRF)
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
stablediffusion
High-Resolution Image Synthesis with Latent Diffusion Models
tensorrt_demos
TensorRT MODNet, YOLOv4, YOLOv3, SSD, MTCNN, and GoogLeNet
trt-samples-for-hackathon-cn
Simple samples for TensorRT programming
tutorials
Tutorials for creating and using ONNX models
vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
volcano
A Cloud Native Batch System (Project under CNCF)