Pinned Repositories
aiserve
Fast.ai production serving model
anotherworld
Blelloch
Exclusive Blelloch Scan with Shared Bank Conflict Avoidance Optimization implemented in CUDA
Bringing-Old-Photos-Back-to-Life
Bringing Old Photo Back to Life (CVPR 2020 oral)
haskell
A Haskell implementation of Scrabble/Morse code
time-series
Predict the next value in the time series. Bitcoin price
tsp
Solving Traveling Salesman problem with Local Search algorithms (Simulated Annealing and Tabu Search)
YOLOv8_DeepSORT_Object_Tracking_pytorch_DeepStream
YOLOv8_DeepSORT_Object_Tracking_pytorch_DeepStream
p1x31's Repositories
p1x31/YOLOv8_DeepSORT_Object_Tracking_pytorch_DeepStream
YOLOv8_DeepSORT_Object_Tracking_pytorch_DeepStream
p1x31/aiserve
Fast.ai production serving model
p1x31/Awesome-Deblurring
A curated list of resources for Image and Video Deblurring
p1x31/Bringing-Old-Photos-Back-to-Life
Bringing Old Photo Back to Life (CVPR 2020 oral)
p1x31/caffe
Caffe: a fast open framework for deep learning.
p1x31/caffe-classification-googlenet
p1x31/coding-interview-university
A complete computer science study plan to become a software engineer.
p1x31/coursera-dl
p1x31/ctci-python
p1x31/CVPR2021-Papers-with-Code
CVPR 2021 论文和开源项目合集
p1x31/envir-setup
p1x31/fast-neural-transfer-style
p1x31/gans
p1x31/ghci_haskell
p1x31/HINet
p1x31/ibmML
My copy of Machine Learning with Python practical materials from Coursera
p1x31/ibmSpark
p1x31/intro_tf
p1x31/machinelearning-samples
Samples for ML.NET, an open source and cross-platform machine learning framework for .NET.
p1x31/opencv
p1x31/otus-project-room5
p1x31/pinterest_scraper
p1x31/ProofChecker
p1x31/Python
All Algorithms implemented in Python
p1x31/reti
p1x31/The-Image-Enhancement-Zoo
Image Enhancement Zoo for collecting deraining, dehazing and brightening methods, datasets, and codes.
p1x31/transformers
A collection of resources to study Transformers in depth.
p1x31/TRTorch
PyTorch/TorchScript compiler for NVIDIA GPUs using TensorRT
p1x31/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
p1x31/youtube_api_python_mlflow_airflow