peteryang's repositories
cnn-explainer
Learning Convolutional Neural Networks with Interactive Visualization. https://poloclub.github.io/cnn-explainer/
CV-backbones
GhostNet: More Features from Cheap Operations
CyberBattleSim
An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.
darknet
YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )
detectron2
Detectron2 is FAIR's next-generation platform for object detection and segmentation.
docker-python
Kaggle Python docker image
DPSR
Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)
glow
Compiler for Neural Network hardware accelerators
gluon-cv
Gluon CV Toolkit
ifp-uiuc.github.io
IFP website using solid-jekyll
introRL
Intro to Reinforcement Learning (强化学习纲要）
LeetCodeAnimation
Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）
LoRA-Finetuning-Example
An example of how to create finetuning datasets and work with other models than Alpaca
minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
mmdetection
Res2Net achieves SOTA on mmdetection.
nccl
Optimized primitives for collective multi-GPU communication
ogb
Benchmark datasets, data loaders, and evaluators for graph machine learning
OI-wiki
:star2: Wiki of OI / ICPC for everyone. （某大型游戏线上攻略，内含炫酷算术魔法）
onnxruntime
ONNX Runtime: cross-platform, high performance scoring engine for ML models
pix2pix
Image-to-image translation with conditional adversarial nets
PRNet
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network (ECCV 2018)
protein-sequence-embedding-iclr2019
Source code for "Learning protein sequence embeddings using information from structure" - ICLR 2019
pytext
A natural language modeling framework based on PyTorch
pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch
PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
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.
stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
torchgpipe
A GPipe implementation in PyTorch
tutorials
PyTorch tutorials.
ViDeNN
ViDeNN - Deep Blind Video Denoising