Machine Learning · GitHub

Data Science and Machine Learning Bootcamp. (Jun - 2026)

Sat2Graph: Road Graph Extraction through Graph-Tensor Encoding

TensorFlow implemenation of GRu4Rec model

Pytorch implementation of BigVSAN

Pytorch implementation of Tacotron

🛣 Building an end-to-end Promptable Semantic Segmentation (Computer Vision) project from training to inferencing a model on LandCover.ai data (Satellite Imagery).

Neural Code Comprehension: A Learnable Representation of Code Semantics

Time Series Prediction with LSTM Using PyTorch

Speedml is a Python package to speed start machine learning projects.

PyTorch implementation of char-rnn (character-level language model)

use pytorch to do image classfiication tasks

"Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022

SPINN (Stack-augmented Parser-Interpreter Neural Network): fast, batchable, context-aware TreeRNNs

a categorical deep learning compiler

Starter projects for machine learning

Automatic Number (License) Plate Recognition using Tensorflow Object Detection API

Pytorch implementation of NeurIPS 2021 paper: Geometry Processing with Neural Fields.

Linguistically-Informed Self-Attention implemented in TensorFlow

Dataset of 25k penises: an appendix to the Quick, Draw! Dataset

Codes related to various ML Hackathons

Using TensorFlow to translate Sign Language.

一种基于神经网络来模拟人手移动鼠标的方法

Rust based framework to train Neural Network

Official PyTorch implementation of HANet (CVPR 2020)