5biwan's repositories
Deep-Complex-Networks
[Not Official] Implementation Deep Comple Networks and Plug-in module (e.g. Neural Preprocessing Layer, ICLR 2018)
Phase-aware-Deep-Complex-UNet
[Not Official] Implementation DC-UNet, ICLR 2019
Temporal-Convolution-Resnet
[Not Official] Implementation of TC-Resnet, INTERSPEECH 2019
Convolutions-to-Vision-Transformers
[Not Official] Implementation of CvT, Convolutions to Vision Transformers
Digging-into-Self-Supervised-Monocular-Depth-Estimation
[Not Official] Implementation of monodepth2, ICCV 2019
Generative-Adversarial-Network-Tutorial
Implementation GAN for MNIST, Simpson, Pokemon
NeRF-Representing-Scenes-as-Neural-Radiance-Fields-for-View-Synthesis
[Not Official] Simple NeRF training pipeline, ECCV 2020
Neural-Network-Pruning-Tutorial
Tutorial impelmentation of Neural Network Pruning for VGG
PyTorch2MLX
LLM Converting, Inference from PyTorch to MLX (Apple Silicon)
Stand-Alone-Self-Attention
[Not Official] Implementation of Stand-Alone-Self-Attention, NeurIPS 2019
Self-Supervised-Monocular-Sceneflow-Estimation
[Not Official] Implementation of monocular sceneflow estimation, CVPR 2020
Awesome-Quant
퀀트를 위한 라이브러리, 패키지 및 리소스의 엄선된 목록
Awesome-Quant-ML
머신러닝에 중점을 둔 퀀트/알고리즘 트레이딩 리소스
ComputeLibrary
The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.
llama.cpp
Port of Facebook's LLaMA model in C/C++
LLM-Courses
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
ML-YouTube-Courses
📺 Discover the latest machine learning / AI courses on YouTube.
mlx
MLX: An array framework for Apple silicon
Pseudolab-nnLabmlai
nnLabmlai 한글화 작업
russellgeum
Profile
Speech-Preprocessing
Speech Data Preprocessing Tool for Deep Learning
VideoDataset
비디오 데이터셋 핸들링 및 튜토리얼
vllm
A high-throughput and memory-efficient inference and serving engine for LLMs