Machine Learning · GitHub

my machine-learning tutorial

Season 2 of @twosigma's artificial intelligence programming challenge

Season 3 of @twosigma's artificial intelligence programming challenge

使用TensorFlow做的自动生成音乐的程序，持续更新。

A PyTorch implementation of the GPT-OSS-20B architecture. All components are coded from scratch: RoPE with YaRN, RMSNorm, SwiGLU with clamping and residual connection, Mixture-of-Experts (MoE), Self-Attention with learned sinks, banded attention, GQA, and KV-cache.

Nested LSTM Cell

Official implementation for paper "A Real-Time and Long-Term Face Tracking Method Using Convolutional Neural Network and Optical Flow for Internet of Things" using C++

a collection of awesome machine learning and deep learning Python libraries&tools. 热门实用机器学习和深入学习Python库和工具的集合

Awesome Resources for Advanced Computer Vision Topics

Video Swin Transformer - PyTorch

Implementation for the paper (CVPR Oral): High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks

General Speech Restoration

(ECCV 2020) PiP: Planning-informed Trajectory Prediction for Autonomous Driving

A Go playing program implemented in Tensorflow roughly according to the architecture of AlphaGo. Current strength is 3~4 amateur dan.

#100DaysOfCode - Learn by developing 100 unique apps to explore exciting tech stacks

Pytorch implementation of "Spatial As Deep: Spatial CNN for Traffic Scene Understanding"

Minimal tutorial on packing and unpacking sequences in pytorch

🌎→🗾Equirectangular (360/panoramic) image processing library for Python with minimal dependencies only using Numpy and PyTorch

Pure C# machine learning framework

A day to day plan for this challenge. Covers both theoritical and practical aspects

Hiding Images within other images using Deep Learning

A Simple and easy to use way to Visualise Embeddings!

Code that accompanies a blog posts on continuous online video classification with TensorFlow, Inception and a Raspberry Pi